Advanced Wireless & Communication
Research Center

Message from the Director, Prof. Takeo Fujii
The year 2023 marked the resumption of active research activities with the end of the COVID19 pandemic. The presentation in international conferences and domestic workshops by membersof AWCC returned to pre-pandemic levels. The publication of journal papers also remained at ahigh level in 2023. Additionally, we are engaged in several national projects, including beyond
5G/6G, low power sensor networks, cooperative autonomous vehicles, and smart infrastructure.
For the years, Advanced Wireless & Communication Research Center (AWCC) has been aiming
and conducting four missions that are;- Dedication to advanced research on wireless communications; offering more unique results.
- Education in graduate school for cultivating specialty in engineering; specialized and universal
education in the area.
- Active collaboration / joint research with industries and government; transferring the outcomesto the society.
- Constant acquisition of competitive research funds; for self-supported operation.
The current vision of AWCC is “Ambient Wireless in Connected Community (AWCC).” AWCC
intends to cover broader research area including not only wireless communications but also any
promising aspects of “wireless” and “communications”. As an academic institute, it is our mission
to pursue basic research in science and technology. Toward the goals, AWCC will enhance its
force and strengthen its presence in the world.
We are focusing the following four research sectors.
(1) Wireless Technology as Social Infrastructure
Wireless technologies will have more importance in the society as the base of safe, secure andsmart life for the individual and the community. Intelligent Transport System (ITS) is one of the
focused topics, anticipating the great demand for automated driving.
(2) Innovative Hardware for Wireless & Communication
Demands for broadband and high-capacity mobile communication systems are very strong,
and 5G and beyond system is being developed in the world. The 5G and beyond system introduces
new usage of frequency spectra called multi-band multi-access, which requires innovation in RF
hardware to achieve higher-accuracy signal transmission with flexibility. Also, wireless powertransfer is another hot and important topic.
(3) Advanced Wireless System & Networks
We have developed many fundamental technologies such as distributed dynamic multi-hop
network, cognitive radio, fault-tolerant network operation, and radio environment-aware
communications. From now on, we integrate the technologies and establish an ultimate wirelessnetwork design.
(4) Exploring Low Power Wireless
By reducing power consumption of wireless system dramatically, applications of wirelesscommunications will spread wider than now. It will make all things connected in the world,
realizing the word "IoT". Innovative low-power technologies are necessary to realize such a world.
As the open research center to the society, AWCC would like to think together with people
and contribute much in research and education of “wireless” and “communications”. We hopeyour kind help and great understanding to AWCC.

-1-１. ABOUT AWCC

1.1 OVERVIEWThe Advanced Wireless Communication
Research Center (AWCC) was launched in
April 2005 with the aims of establishing a
global hub for wireless communications;advancing education in wireless technology;
industrial

collaboration

andtechnology

transfer; and nurturing young engineers
with strong emphasis on both theoreticalandexperimental

aspectsofwireless

communications. In April 2015, the center was re-launched as the Advanced Wireless andCommunication Research Center with the same abbreviation, AWCC, to enhance its remarkablerange of activities over the previous ten years. With funding of approximately 1000 million yen
over nine years, the center consists of 4 full time, 5 concurrent, 20 cooperative, and 6 visiting
professors. In addition, there are 9 visiting professors from industry and more than 100 graduate
students, post-doctoral and research fellows. The center actively contributes to academic societiesand publishes more than 150 papers annually in top journals and proceedings of international
conferences.
The AWCC organizes regular seminars and workshops with the highlight of 2014 being the“Tokyo Wireless Technology Summit” held in March 2014. The meeting focused on the next major
phase of mobile telecommunications called 5th generation (5G) and attracted approximately 240
participants from all over the world.

1.2 FACILITIESAWCC is located on the east-campus of the University ofElectro-Communications in Chofu city, Tokyo near Shinjuku
district in Japan. The center has opened with 10,441 square footof modern research space containing a class room, twoconference rooms, four research offices, and two experimentrooms with a wide range of instruments including FPGA
development platforms, signal generators, vector network
analyzers, spectrum analyzers, software defined radios, and soon. Also, it has extensive computer and network resources
including high-speed workstations and personal computerswhich are integrated with resources of the Univeristy of ElectroCommunications.

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1.3 PEOPLE【Director, Full-time Prof. Takeo Fujii】
Takeo Fujii was born in Tokyo, Japan, in 1974. He received the B.E., M.E.
and Ph.D. degrees in electrical engineering from Keio University,
Yokohama, Japan, in 1997, 1999 and 2002 respectively. From 2000 to 2002,
he was a research associate in the Department of Information andComputer Science, Keio University. From 2002 to 2006, he was an
assistant professor in the Department of Electrical and Electronic
Engineering, Tokyo University of Agriculture and Technology. From 2006
to 2014, he has been an associate professor in Advanced WirelessCommunication Research Center, The University of Electro-Communications. Currently, he is a
professor in Advanced Wireless and Communication Research Center, The University of ElectroCommunications. His current research interests are in cognitive radio and ad-hoc wirelessnetworks. He received Best Paper Award in IEEE VTC 1999-Fall, 2001 Active Research Awardin Radio Communication Systems from IEICE technical committee of RCS, 2001 Ericsson Young
Scientist Award, Young Researcher's Award from the IEICE in 2004, The Young Researcher
Study Encouragement Award from IEICE technical committee of AN in 2009, Best Paper Award
in IEEE CCNC 2013, and IEICE Communication Society Best Paper Award in 2016. He is asenior member of IEEE and a fellow of IEICE.

【Full-time Prof. Koji Ishibashi】
Koji Ishibashi received the B.E. and M.E. degrees in engineering fromThe University of Electro-Communications, Tokyo, Japan, in 2002 and2004, respectively, and the Ph.D. degree in engineering from Yokohama
National University, Yokohama, Japan, in 2007. From 2007 to 2012, he
was an Assistant Professor at the Department of Electrical and Electronic
Engineering, Shizuoka University, Hamamatsu, Japan. Since April 2012,he has been with the Advanced Wireless Communication Research Center(AWCC), The University of Electro-Communications, Tokyo, Japan where
he is currently an Associate Professor. From 2010 to 2012, he was a Visiting Scholar at the Schoolof Engineering and Applied Sciences, Harvard University, Cambridge, MA. Prof. Ishibashi has
contributed more than 100 articles to international journals and conference proceedings. His
current research interests are grant-free access, non-orthogonal multiple access (NOMA),
millimeter wave communications, ultra-low power communications, signal processing, andinformation theory. He is a senior member of IEEE and IEICE.

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【Full-time Associate Prof. Koichi Adachi】
Koichi Adachi received the B.E., M.E., and Ph.D. degrees in engineeringfrom Keio University, Japan, in 2005, 2007, and 2009 respectively. His
research interests include cooperative communications and energy
efficient communication technologies. From 2007 to 2010, he was a Japan
Society for the Promotion of Science (JSPS) research fellow. He was thevisiting researcher at City University of Hong Kong in April 2009 and thevisiting research fellow at University of Kent from June to Aug 2009. FromMay 2010 to May 2016, he was with the Institute for Infocomm Research,
A*STAR, in Singapore. Currently, he is an associate professor at The
University of Electro-Communications, Japan. He was an Associate Editor IEEE WirelessCommunications Letters since 2016 to 2022, IEEE Transactions on Vehicular Technology
between 2016 – 2018, IEEE Transactions on Green Communications and Networking between
2016 - 2022, IEEE Open Journal of Vehicular Technology since 2019, IEEE Transactions on
Wireless Communications since 2023, and IEEE Communications Surveys & Tutorials since2023. He is a senior member of IEEE and a member IEICE. He was recognized as the Exemplary
Reviewer from IEEE Wireless Communications Letters in 2012, 2013, 2014, and 2015. He wasawarded excellent editor award from IEEE ComSoc MMTC in 2013. He is a coauthor of
WPMC2020 Best Student Paper Award and Best Student Paper Award and ICUFN’22.

【Full-time Associate Prof. Kun Li】
Kun Li received the B.E. degree in communication engineering from the
Nanjing University of Posts and Telecommunications, Nanjing, China, in
2011, and the M.E. and Ph.D. degrees in electrical engineering from the
University of Toyama, Toyama, Japan, in 2014 and 2017, respectively.
From 2017 to 2019, he was a Researcher with the Electromagnetic
Compatibility Laboratory, National Institute of Information andCommunications Technology, Tokyo, Japan. From 2020 to 2023, he wasan Assistant Professor with the Faculty of Engineering and Design,
Kagawa University, Takamatsu, Japan. He was a Visiting Researcher with the CNRS/IETR,
University of Rennes 1, Rennes, France, from 2022 to 2023. In 2023, he joined the Advanced
Wireless and Communication Research Center, The University of Electro-Communications,Tokyo, Japan, where he is currently working as an Associate Professor. His research interests
include electromagnetic computation and measurement for radiation safety by human exposure
to electromagnetic fields in radio frequencies, antenna design and measurement techniques for
wireless body area network system. Dr. Li was the recipient of the Young Scientist Award of the
URSI, in 2020, the Risaburo Sato Award of EMC Sapporo & AMPEC, in 2019, the IEEE AP-S
Japan Student Award in 2015, and the IEICE Best Letter Award in 2017. He is a member ofIEEE International Committee on Electromagnetic Safety TC95 and Co-Chair of Working Group-4-

7 under Subcommittee 6 EMF Dosimetry Modeling established to study average schemes andassessment methods of absorbed power density. He is a senior member of URSI and a memberof IEEE and IEICE.

【Concurrent Prof. Koji Wada】
Koji Wada received the B.E. and M.E. degrees from Kinki University,
Osaka, Japan, in 1991 and 1995, respectively, and the Doctorate degreefrom Yamaguchi University, Yamaguchi, Japan, in 1999. From 1999 to
2004, he was a Research Associate with the Department of ElectricalEngineering and Electronics, Aoyama Gakuin University, Kanagawa,Japan. From 2004 to 2015, he worked as an Associate Professor at the
Department of Electronic Engineering, the University of ElectroCommunications, Tokyo, Japan and he is Currently a Professor at the
Department of Computer and Network engineering, Graduate School ofInformatics and Engineering, the University of Electro-Communications. His research interests
include resonators, filters, multiplexers, multiband circuits, tunable circuits, periodic structure,and metamaterial circuits. Dr. Wada is a member of the Institute of Electronics, Information
and Communication Engineers (IEICE), Japan, Institute of Electrical Engineers of Japan(IEEJ), and Japan Institute of Electronics Packaging (JIEP).

【Concurrent Prof. Motoharu Matsuura】
Motoharu Matsuura received the Ph.D. degree in electrical engineeringfrom the University of Electro-Communications, Tokyo, Japan, in 2004.
In 2007, he joined the Department of Information and Communication
Engineering at the University of Electro-Communications as an AssistantProfessor. From 2010 to 2011, on leave from the university, he joined the
COBRA Research Institute, Eindhoven University of Technology,
Eindhoven, The Netherlands, as a Visiting Researcher, where he studied
ultrahigh-speed optical signal processing using semiconductor-based
devices. He is currently a Professor with the Graduate School of Informatics and Engineering,
Department of Communication Engineering and Informatics, University of ElectroCommunications. His research interests include optical signal processing, photonic subsystems,
and radio-over-fiber transmission systems. He is the author or coauthor of more than 180 papers
published in international refereed journals and conferences. He received the Ericsson Young
Scientist Award in 2008, the FUNAI Information Technology Award for Young Researcher in
2009, and the Telecommunication System Technology Award of the Telecommunications
Advancement Foundation in 2011. He is a member of IEEE, OSA, and IEICE.
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【Concurrent Prof. Ryo Ishikawa】
Ryo Ishikawa received the B.E., M.E., and D.E. degrees in electronicengineering from Tohoku University, Sendai, Japan, in 1996, 1998, and2001, respectively. In 2001, he joined the Research Institute of ElectricalCommunication, Tohoku University, Sendai, Japan. In 2003, he joined the
University of Electro-Communications, Tokyo, Japan. His researchinterest is the development of microwave compound semiconductor
devices and related techniques. He was the recipient of the 1999 Young
Scientist Award for the Presentation of an Excellent Paper of the Tohoku
Chapter, Japan Society of Applied Physics.

【Concurrent Prof. Celimuge Wu】
Celimuge Wu received his PhD degree from The University ofElectro-Communications, Japan, where he is currently aprofessor. His research interests include Vehicular Networks,
Edge Computing, IoT, Intelligent Transport Systems, and AI
for Wireless Networking and Computing. He serves as an
associate editor of IEEE Transactions on Network ScienceandEngineering,IEEE
Transactionson
Green
Communications and Networking, and IEEE Open Journal of
the Computer Society. He is the Vice Chair (Asia Pacific) of IEEE ComSoC TechnicalCommittee on Big Data (TCBD), and the chair of IEEE TCGCC Special Interest
Group on Green Internet of Vehicles. He is a recipient of 2021 IEEE Communications
Society Outstanding Paper Award, 2021 IEEE Internet of Things Journal Best Paper
Award, IEEE Computer Society 2020 Best Paper Award and IEEE Computer Society
2019 Best Paper Award Runner-Up. He is a senior member of IEEE.
【Concurrent Associate Prof. Katsuya Suto】-6-

Katsuya Suto received the B.Sc. degree in computer engineeringfrom Iwate University, Morioka, Japan, in 2011, and the M.Sc. and
Ph.D. degrees in information science from Tohoku University,
Sendai, Japan, in 2013 and 2016, respectively. He has worked as a
Postdoctoral Fellow for Research Abroad, Japan Society for the
Promotion of Science, in the Broadband Communications ResearchLab., University of Waterloo, ON, Canada, from 2016 to 2018. He
is an Associate Professor with the Graduate School of Informatics and Engineering,
the University of Electro-Communications, Tokyo, Japan. His research interests
include semantic communications, radio propagation, deep learning, and graphrepresentation. He received the Best Paper Award at the IEEE VTC2013-spring, theIEEE/CIC ICCC2015, the IEEE ICC2016, and the IEEE Transactions on Computersin 2018. He is currently the Associate Editor of the International Journal ofComputers and Applications. He is a member of IEEE and IEICE.

【Visiting Professors】
Prof. Yasushi Yamao, Ph.D.
Prof. Kazuhiko Honjo, Ph.D.
Prof. Yoichiro Takayama, Ph.D.
Prof. Akira Saito, Ph.D.
Prof. Masashi Hayakawa, Ph.D.
Prof. Hiroshi Suzuki, Ph.D.
Prof. Mitsuo Makimoto, Ph.D.
Prof. Giuseppe T. F. de Abreu, Ph.D.
Prof. Nobuo Nakajima, Ph.D.
Prof. Yukitsuna Furuya
Prof. Takayuki Inaba, Ph.D.
Prof. Tadashi Matsumoto, Ph.D.
【Cooperative Professors】
Prof. Haruhisa Ichikawa, Ph.D.
Prof. Naoto Kishi, Ph.D.
Prof. Tetsuro Kirimoto, Ph.D.
Prof. Kazuo Sakiyama, Ph.D.
Prof. Fengchao Xiao, Ph.D.
Prof. Xi Zhang, Ph.D.
Prof. Cong-Kha Pham, Ph.D.

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Associate Prof. Manabu Akita, Ph.D.
Associate Prof. Yoshiaki Ando, Ph.D.
Associate Prof. Toshiharu Kojima, Ph.D.
Associate Prof. Hisa-Aki Tanaka, Ph.D.
Associate Prof. Kazuki Nishi, Ph.D.
Associate Prof. Satoshi Ono, Ph.D.
Associate Prof. Suhua Tang, Ph.D.
Associate Prof. Hayato Yamaki, Ph.D.
Associate Prof. Zhi Liu【Visiting Professors from Industry】
Prof. Kunio Uchiyama (AIST)
Prof. Takahiro Asai (NTT Docomo)
Prof. Yoji Kishi (KDDI Research Inc.)
Prof. Terunao Soneoka (NTT-AT)
Prof. Akinori Taira (Mitsubishi Research Institute Inc.)
Prof. Hiroyuki Tsuji (NICT)
Prof. Hideki Hayashi (Softbank Corp.)
Prof. Hiroyuki Seki (Fujitsu Laboratory Ltd.)
Prof. Kenji Yoshida (Intermedia Laboratory Inc.)-8-

2.1 Division of Wireless Technologies as Social Infrastructure
2.1.1 Purpose of Research
Wireless technologies will have more importance in the society as the base of safe, secureand smart life for individuals and community. Various types of machine to machinecommunication such as sensors, IoT devices and vehicular communications will spread in thesociety taking little notice but support safety and secureness of society, as well as creating
more comfortable and smarter life. In these days, done communications are also focused on
new infrastructures such as flying car, logistics and flying base stations and communications
supporting drone is one of the important issues. In this division, technologies for realizing
reliable and high capacity communication for supporting social infrastructure are developed.

2.1.2 Research Staffs and Their Specialties
Prof. Takeo Fujii (Division Leader, ITS, Radio Environment Recognition, Smart
Infrastructure)
Prof. Koji Ishibashi (Wireless Security)
Associate Prof. Koichi Adachi (Drone)
Associate Prof. Katsuya Suto (ITS)Associate Prof. Kun Li (Smart Infrastructure)

2.1.3 Major Research Outcomes in 2023
[Observation Data and 3D Map-based Radio Environmental Recognition with Area
Crassification] (Fujii Lab.)In the next-generation mobile communication system, unmanned aerial vehicles (UAVs) are
attracting attention. Especially drones are expected to become a new means of delivery andmobility. Since drones are controlled wirelessly, the safety of their communications must be
assured. For this purpose, estimating the radio environment in a 3D space is necessary.
Conventionally, radio maps have been proposed as a method for predicting the radio environment
in 2D space, and kriging is effective for interpolation. In the 3D space, the map construction
requires the division of the area because the surrounding environment differs greatly in the
direction of altitude. In this study, we proposed a method for classifying propagation conditions
based on 3D maps that record the topography and building geometry, and then interpolating andestimating the received power from the observed data based on these classifications. The systemmodel of the estimation method is shown in Fig. 2.1-1. The UAV observes the radio environment
in a portion of the flight area, and the database server performs interpolation estimation basedon these observations.
From the result of the measurement campaign for the LTE base station, the proposed method
reduced the RMSE (Root Mean Squared Error) between estimated values and observed values.
Figure 2.1-2 shows the cumulative distribution function (CDF) of the RMSE when observations
are randomly sampled from within the area to be estimated and kriging interpolation is
performed. The 'all' and 'divide' in the legend indicate the case where kriging was performed over-9-the entire range and the case where area division was performed, respectively. The numbers that
follow indicate the number of sampled data (the total number of data in the estimated area is120). When the number of data was 8, area dividing resulted in RMSE of 5.50[dB] or less in 90%
of cases, an improvement of 1.59[dB] compared to 7.09[dB] in the case without dividing.

Fig. 2.1-1 System model.

Fig. 2.1-2 RMSE distribution after 1,000
times interpolation iterations[Throughput Prediction Using Channel Occupancy Rate and Communication Logs] (Fujii
Lab.)

With the spread of 5G and Wi-Fi6, the demand of high speed high capacity communication
using 5G and Wi-Fi6 increases. However, the increase in the number of wireless users leads tobandwidth shortage and radio frequency interference, which can significantly decrease their
quality of service. Prediction of the wireless communication quality is important to avoid thedecrease in their quality of service. It is known that the throughput value is useful as anevaluation index of wireless communication quality. Although there are some methods forpredicting future throughput using past throughput values, these methods require constantmeasurement of throughput, which increases the traffic load and may reduce the quality ofcommunication. Therefore, the method for predicting throughput without traffic load is required.
In this research, we estimate the throughput from communication logs of wireless terminals
in wireless LAN communications. Specifically, we estimate throughput using the COR (Channel
Occupancy Rate) and RSSI (Received Signal Strength Indicator) of the user's communication
environment. Usually, as throughput increases, the amount of traffic through the channel
increases, and COR becomes higher. The relation between the traffic through the channel andthe COR is shown in Figure 2.1-4 and 2.1-4. We can understand that as traffic increases, theCOR increases. The COR for each traffic is higher when the RSSI is -60 dBm than when the RSSI
is -35 dBm. These results confirm the possibility that COR and RSSI can be used for throughput
estimation in wireless LAN communications.

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Fig.2.1-3 Relation between traffic and COR

Fig.2.1-4 Relation between traffic and COR(Wi-Fi5, RSSI=-35 dBm).

(Wi-Fi5, RSSI=-60 dBm).

【Cyber-Physical Integrated Emulator for Cooperative Automated Driving】(Suto Lab.)

Cooperative automated driving using vehicle-to-everything (V2X) communications is apromising solution for future transportation systems because it can improve the safety of driving
by cooperative perception, i.e., collection of surrounding information that cannot be obtained by
self-equipped sensors. However, the performance and accuracy of cooperative perception areaffected by the quality of service (QoS) of V2X communications. Toward the promisingtransportation system, we developed a network emulator that accurately evaluates QoS using
physical information collected from the real world. Specifically, our developed emulator has thefollowing features:
1. Multi-modal traffic simulator is integrated into the network simulator to analyze theinterdependency between vehicle mobility and V2X QoS.
2. Actual measurement data in the real world is incorporated to emulate site-specific wirelessenvironments.
3. Any applications using V2X communications can be developed in the platform to emulator
cooperative automated driving services, i.e., behavior arbitration, speed advisory, etc.
In this academic year, we developed the simulation platform that integrates the simulation ofurban mobility (SUMO) and NS3. As shown Fig. Fig. 2.1-5, the simulator visualizes the spatial
Statistics of V2X QoS such as delay and throughput by considering simulated vehicle traffic(corresponding data traffic). Further, by inputting physical radio environment information suchas location of BS, channel knowledge and handover data, the simulator accurately estimates the
V2X QoS.

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(a) LTE Measured RSRP
（A System）(b) LTE Simulated Delay（A System）(c) LTE Measured RSRP（B System）(d) LTE Simulated Delay（B System）

Fig. 2.1-5 V2X performance simulated by integrated transportation and network
simulators with measurement radio environment information.
【Deep Joint Source-Channel Coding for UAV Communications】(Suto Lab.)

Unmanned aerial vehicle (UAV) image transmission system is a key technology to support the
future aerial social infrastructure such as logistics, measurement, construction, etc. Comparedto the well-developed terrestrial network that support variety of applications, the UAV
communications system can be designed by considering the use case of UAV. From the perspective,
we design joint source-channel coding (JSCC) using deep neural network. By constructing source
coding and channel coding in learning manner, the encoder can achieve more compression
performance than the traditional communication system.
In this academic year, we addressed the specific challenge of UAV communications withphysical limitation consideration, i.e., the reduction of peak to average power ratio (PAPR),
robustness against frequency-selective and time-selective fading. As for PAPR issue, we designed
a latent-feature-based semantic (LF-Semantic) filter that eliminates the zero-closed latentfeature value to compress the baseband signal while reducing the PAPR. Based on the LFSemantic filter, we further investigated the optimization of compression ratio to maximize theimage quality under frequency-selective and time-selective fading effect. Fig. 2.1-6 shows theexamples of image transmission with conventional deep JSCC and our proposal. Obviously, our- 12 -

proposal successfully decodes the accurate image compared to the conventional method.

Fig. 2.1-6 Example of image transmission, 1st row: conventional deep JSCC, 2nd row: proposal, 1stcolumn: original image, 2nd column: SNR=5, 3rd column: SNR=15, 4th column: SNR=25.

[Physical Layer Security for Future IoT Systems] (Koji Ishibashi Lab.)To protect information privacy in future IoT systems, several physical layer security (PLS)
technologies have been proposed. During this academic year, we proposed an authentication
method based on channel statistics and a rate splitting multiple access (RSMA) for securecommunications.
Our proposed authentication method exploits spatio-temporal correlation features of multipleinput multiple-output (MIMO) channels. Particularly, spatial correlation and channel aging
between two legitimate nodes are captured by the covariance matrix of consecutive channel
estimates and then incorporated in the Mahalanobis distance allowing the detection of theimpersonator’s spoofing attack. Fig. 2.1-7 shows receiver operation characteristic (ROC). It canbe observed that Mahalanobis distance has a higher detection probability than Euclidean
distance (conventional) even when a lower false alarm probability is imposed.
We further proposed a precoder design for rate splitting multiple access (RSMA) downlink
communication in the presence of both malicious users and an eavesdropper (Eve). While theconventional secure precoder designs for RSMA consider only malicious users or Eve, we
proposed a novel precoder design against both Eve and malicious users. Fig. 2.1-8 shows the
cumulative distribution functions (CDFs) of the mean data rates of users. The results confirm
that the proposed approach achieves a higher feasible probability with at worst the same
throughput as the conventional approach.

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1

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Against malicous users[1]Against Eve[2]Proposed

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CDF

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Fig. 2.1-7 ROC curves.

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Mean data rate[bps/Hz]

Fig. 2.1-8 CDFs of the mean data rates.

[Smart Infrastructure Management System, “Automated Construction for Tunnel Blasting](Kun Li Lab., Fujii Lab)In order to reliably detonate the wireless electronic detonators embedded in the tunnel facewithin the specified delay time, a highly reliable communication link with the blasting device isessential. The wireless electronic detonator, currently being developed by NOF, uses the UHFband (920 MHz) from the operating device to the repeater, and from the repeater installed near
the tunnel face to the detonators embedded in the bedrock, the LF band (250 kHz) wirelesscommunication has been used. This ensures connectivity, delivers charging instructions, andtransmits blasting information. Fig. 2.1-9 presents an example of measurement results from amock blasting test in a mine shaft environment. At a certain separation distance between the
LF-band loop antenna and the tunnel face, responses from all the wireless electronic detonators
inside the rock were confirmed successfully. However, significant degradation in signal level has
been observed when altering the detonator depth, which warrants further investigation throughnumerical simulation. Additionally, pulse signals at 920 MHz transmitted by the blasting device
were detected at various repeater positions. The effects of repeater position, polarization, andline-of-sight (LoS) conditions have been analyzed. Subsequent empirical testing in actual tunnels
has been carried out, including examining the high noise levels caused by heavy machinery suchas high-power dust collectors and drilling equipment.

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(a)Pulse signals from wirelesselectronic detonator at LF band(b)
Pulse signals from blasting
device at UHF band

Fig. 2.1-9 LF and UHF band signals of wireless electronic detonator in mock blastingtest.

2.1.4 Funds【Commissioned Research】
1. SIP Smart Infrastructure Management System, “Automated Construction for Tunnel
Blasting“
Takeo Fujii, Kun Li
2. METI Project on Research, Development, Demonstration and Deployment (RDD&D) of
Autonomous Driving toward the Level 4 and its Enhanced Mobility Services (RoAD to theL4), “Harmonization and interoperability of V2V and V2P for deployment of L4 in mixed
traffic environment
Takeo Fujii, Katsuya Suto
3. JST EIG CONCERT Japan, “Organically Resilient and Secure Wireless Networks for
Next-Generation IoT Technologies (ORACLE)”
Koji Ishibashi
4. JST Aspire, “Resilient Cyberspace Generative Framework with Communication, Sensing
and Learning Integration”
Katsuya Suto
5. MIC SCOPE, “R&D on Digital-Twin Construction with mmWave UAV Mesh Networks”
Katsuya Suto

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【Cooperative Research】
1. TIS Inc., Celimuge Wu, Takeo Fujii, Katsuya Suto
2. NEC Corp. Takeo Fujii
3. Softbank Corp., Katsuya Suto
4. TOPPAN Holdings Inc., Takeo Fujii
5. Mitsubishi Research Institute Inc., Takeo Fujii- 16 -

2.2

Advanced Hardware Research Division

2.2.1 Purpose of Research
Research and development of wireless information/power transmission hardware for next
generation mobile communication base stations and terminal devices

2.2.2 Research Staffs and Their Specialties
Prof. M. Matsuura

Wideband RoF Systems, Devices, Fibers and Integration

Prof. R. Ishikawa

Microwave/Millimeterwave Devices and Circuits

Prof. K. Wada

Microwave Filters and Their Applications

Prof. K. Li

Antenna, Radio Wave Propagation, Bioelectromagnetics

Visiting Prof. Y. Yamao

Reconfigurable RF Circuit, Nonlinear Compensation

Visiting Prof. K. Honjo

Microwave Engineering, Semiconductor Devices

Visiting Prof. Y. Takayama

Microwave Power Amplifier Systems

Visiting Prof. A. Saitou

Electro-Magnetic Wave Engineering, Antennas

Visiting Prof. Koichiro Ishibashi

Low Power RF Devices, Sensor Networks

2.2.3 Major Research Outcomes in 2023
（A）[A 28-GHz-band Wide-dynamic-range GaN HEMT MMIC Outphasing Amplifier](Ishikawa Lab.)In recent years, the greater sophistication and diversity in wireless communication systems have become
remarkable, hence further improvements in performance of wireless transmitters in the base stations are required.
Power amplifiers are an important device, which greatly affect distortions for signals and power consumption.
A peak-to-average power ratio (PAPR) of recent digital wireless signals is large as more than 6 dB. A PAPR of
9 dB is often considered in 4G and 5G OFDM (Orthogonal Frequency Division Multiplexing) / QAM(Quadrature Amplitude Modulation) systems. In such systems, power efficiency at large output power back offlevels dominates a total power consumption of the amplifiers than that in saturation levels. Thus, high efficiency
characteristics are required for wide dynamic range in the amplifiers, where a special attention should be paidon the efficiency at large output back-off (OBO) power level.
For this issue, A fully integrated GaN HEMT outphasing amplifier has been developed at the 28-GHz band.
Since the circuit configuration of an outphasing amplifier is usually complicated, in order to deal with load
modulation, the efficiency characteristic is degraded by circuit insertion loss, especially at the millimeter-wave
region. Thus, the circuit was carefully designed based on impedance optimization at both low- and high-outputpower levels, considering the circuit loss by using a loss map created on a Smith chart. The fabricated GaN
HEMT outphasing amplifier MMIC exhibited a maximum drain efficiency of 45% and a drain efficiency of
22% at 5 dB backoff at 28.5 GHz(Fig. 2.2.1).

- 17 -

Fig. 2.2.1 Fabricated GaN HEMT outphasing power amplifier MMIC, and its characteristics（B）[OAM Long-range Communication via Dielectric Lens Repeater] (Ishikawa Lab.)We have demonstrated that the electro-magnetic wave propagation occurs with a single orbital angularmomentum (OAM) mode when a current distribution of the azimuth angle f-direction for a circular loop antenna
conductor contains only one Fourier expansion coefficient. This condition almost retains at the loop-antenna
conductor length of nλ (n is the integer). As a common issue for the OAM communication, the directivity of the
OAM waves is wide, especially for the loop antenna that has a small antenna aperture. Therefore, for a longrange communication, paraboloid reflectors are utilized for focusing the OAM waves.
Here, we have tried to extend the transmission distance by using a dielectric lens as a repeater. The locationof the dielectric lens was investigated with simulated electric fields of each mode. From the investigation, for adielectric lens with a diameter of 30 cm, the distance between the array and the lens was ideally estimated to beless than 90 cm. A 4-channel OAM multiplexing long-range communication test via lens in the 24 GHz band
was carried out. As a result, the signal transmission and signal-to-interference ratio values for all modes wereachieved as more than −22.6 dB and more than 21.2 dB, respectively, with a communication distance of 155
cm (Fig. 2.2.2).

Fig. 2.2.2 Fabricated roop antenna system for 4-channel OAM multiplexing communication via lens,and its characteristics（C）Photonic Digital to Analog Conversion Using Frequency Chirp in Semiconductor
Optical Amplifiers (Matsuura Lab.)In recent years, the development of communication technology has required more sophisticateddata signal processing techniques. In particular, the demand for analog-to-digital conversions(ADCs) and digital-to-analog conversions (DACs) with higher operating speeds and resolutions
has been rapidly increasing. However, it is currently difficult for electrical ADCs and DACs toachieve higher operating speed, because the performance is greatly limited by jitter limitation
and resistive-capacitive delay of the electrical components. To overcome this problem, photonic
ADCs and DACs, which achieve signal conversion in the optical domain, have attracted muchattention. The use of semiconductor optical amplifiers (SOAs) provides numerous advantages
such as a small footprint and monolithic integration ability for optical signal processing. In
addition, compared to the conventional SOAs, quantum-dot SOAs (QD-SOAs) provide a faster
gain recovery time and broader gain bandwidth, and improves the performance of optical signal
processing applications.
In this year, we demonstrate a 4-bit, 40 Gb/s PDAC using frequency chirp in a QD-SOA, by- 18 -

optimizing the wavelength and power of the input binary data and clock signals, as well as theconfiguration of the PDAC for 40 Gb/s operation. We also evaluated the conversion performancein terms of differential and integral nonlinearities. To the best of our knowledge, this is the firstexperimental demonstration of 4-bit PDAC with high conversion performance at a bit rate of 40
Gb/s.
Fig. 2.2.3 (a) shows an example of the pulse train of the 40 Gb/s input binary data signal andconverted 16-level (analog) data signal. It can be observed that the 20 Gb/s converted signal consistsof a pulse train with each different pulse peak power corresponding to each 16-level data determinedby the input binary data pattern, as shown in Fig. 2.2.3 (b). This indicates that a 4-bit conversion of
40 Gb/s was successfully achieved. Fig. 2.2.3 (c) shows the ideal (blue dotted line), actual (red solidline) step functions for the PDAC. The output pulse peak amplitude was normalized in 16 steps, andeach one step corresponded to the smallest increment step of the PDAC output between two adjacentlevels. Here, the ideal PDAC step is defined as 1 least significant bit (LSB). In this case, the function
was close to the ideal step. The obtained results showed that the 4-bit, 40_Gb/s PDAC using blue
frequency chirp had higher performance.

Fig. 2.2.3 Example of pulse train of 40 Gbit/s (a) input binary data signal and (b) converted 16-level

data signal. (c) ideal and actual step function of PADC.

（C）[Wearable MIMO Antenna Design with High and Stable Channel Capacity] (Kun LiLab.)

We developed a compact wearable multiple-input multiple-output (MIMO) antenna incollaboration with the University of Toyama and Jinlin University. This antenna maintains ahigh and stable channel capacity of over 20 bits/s/Hz in dynamic human off-body channels. The
MIMO array comprises 4 miniaturized antenna elements, each operating at 2.45 GHz. The
antenna element is connected to a compact microwave coupler, giving a wide power-tunable range
exceeding 25 dB and a phase difference near 90 degrees. The design of the antenna and coupler
facilitates optimal weighted-polarization power control, which effectively mitigates polarization
mismatch due to variations in the cross-polarization power ratio (XPR) of incoming waves andthe antenna’s inclination angle during human arm-swing motion. The antenna radiation patternconcerning polarization control was measured in an anechoic chamber. In addition, a 4 × 4 MIMO
channel capacity experiment was conducted using a 3D fading emulator with an arm-swinging- 19 -

human phantom. The measured results agree well with the simulated outcomes, both with andwithout the influence of the human body effects. These findings demonstrate that the proposed
wearable antenna systems are well-integrated and consistently achieve a high and stable MIMO
channel capacity of over 20 bits/s/Hz in a typical dynamic off-body channel.

Fig. 2.2.4 Wearable MIMO antenna evaluation by OTA apparatus with a human phantom.

2.2.4 Funds【Grants-in-Aid for Scientific Research】
1. Grant-in-Aid for Challenging Research (B) “Research on advanced power-over-fiber using
pure-silica double-clad fibers”
M. Matsuura【Commissioned Research】
1. MIC, SCOPE, “Research and development of reconfigurable OAM spatial multiplexing antenna
technology for massive multiple access wireless networks”
R. Ishikawa, K. Honjo, A. Saitou【Cooperative Research】
1. SoftBank Group Corp. “Low power consumption amplifier”, R. Ishikawa
2. ROHM Co., Ltd. “High frequency measurement technique for GaN-HEMT”, R. Ishikawa
3. Japan Space Systems. “Technical evaluation of high-efficiency power transfer section related to“Research and development project for high efficiency wireless power transfer in space solar powersystems”, R. Ishikawa
4. Japan Space Systems. “Development of energy-related technology on the lunar surface (organization oftechnical issues related to electric power) Development and study of equipment, etc. for powertransmission technology demonstration experiments from low-Earth orbit”, R. Ishikawa- 20 -

5. Japan Space Systems. “Study of RF amplifier for wireless power transmission in lunar orbit solar power
generation system”, R. Ishikawa- 21 -

2.3 Division of Creating Advanced Wireless Systems
2.3.1 Purpose of Division
R&D of Advanced Wireless Systems and Networks contributing to development of society bysustainable technologies of wireless systems

2.3.2 Research Staffs and Their Specialties
Prof. Koji Ishibashi（Division Leader, Future NW, Distributed NW）
Prof. Takeo Fujii（Future NW, Cognitive Radio, Distributed NW）
Prof. Motoharu Matsuura（Future NW）
Prof. Celimuge Wu (Future NW, Distributed NW)
Associate Prof. Koichi Adachi (Future NW)
Associate Prof. Katsuya Suto (Future NW)

2.3.3 Major Research Results in 2024
[Indoor Wireless Environment Visualization for Smart Factories] (Fujii Lab.)To realize a smart factory that operates with a stable power supply and a cyber-physicalsystem (CPS), wireless power transfer (WPT) and data transmission for the CPS must be
performed simultaneously without interference. For the design of these simultaneoustransmissions, it is important to accurately recognize the wireless environment. One of themethods for recognizing the environment is a radio environment map (REM), which visualizes
the statistical results of measured received power and communication quality by linking them tolocation information. In this paper, we propose measuring the received power of local 5G (L5G)
in a smart factory and constructing an indoor spectrum database. REMs were created from theconstructed database and their accuracy was evaluated.
To construct an indoor spectrum database, we measured the reference signal received power(RSRP) of L5G in the factory environment. The REM created using the constructed indoor
spectrum database is shown in Fig. 2.3-1. The average RSRP was used as the representativevalue for each mesh of the REM; the observation area in the LF is a 1[m]×1[m] mesh, and the BSof the L5G is located below the (15,3) mesh.
To verify the accuracy of the REM, the root mean square error (RMSE) was derived for eachmesh and the entire REM. The RMSE for the entire REM was 1.26 [dB]. Fig. 2 shows the RMSE
at each mesh. From Fig. 2.3-2, it can be seen that even at the worst value, the RMSE is kept
below 3 [dB]. Thus, by constructing a REM, the wireless environment can be accurately
determined even in a complex environment such as a factory.

- 22 -

Fig. 2.3-1 RSRP Map of L5G.

Fig. 2.3-2 RMSE of RSRP in each mesh.

[Indoor Positioning using BLE Beacons in Factory Environment] (Fujii Lab.)A method using signals of BLE beacons has been investigated as method for estimating thelocation of user equipment (UE) indoors, and a trilateration using received signal strength
indicator (RSSI) from BLE beacons has been proposed. Trilateration using beacons calculate thedistance between each beacon and the UE using RSSI from three beacons with known locations.
The intersection of three circles with the calculated distance as the radius and each beacon as
the center is the estimated location of the UE. In the Trilateration, to improve position accuracy,
it is necessary to install more beacons and increase the number of beacons in the line-of-sight(LOS). In factory environment where there are many metallic objects, the multipath effect isgreater, so more beacons need to be installed. However, installing a huge number of beacons in
Factory and knowing the location of all beacons is time-consuming and costly. This paper
proposes a method utilizes not only beacons, whose locations are known, but also the signals fromUE whose locations are unknown.
Fig. 2.3-3 shows the system model of the proposed method. In this study, the beacon onlytransmits BLE signals, while the UE both transmits and receives BLE signals. First, the locationof the UE with unknown location is estimated by Trilateration using beacons with known location.
Next, the position of the UE to be located is estimated using both beacons and the UE that was
located in the first step.
To evaluate the performance of the proposed method, observation experiments are conducted at
the factory, and position estimation is performed based on the observed values. The number ofknown beacons is 21 and the number of unknown UEs is 4. The results are compared between amethod using 21 known beacons and 4 unknown UEs. The cumulative distribution function of
the positioning error at each observation point is shown in Fig. 2.3-4. As a result, it can be
confirmed that the proposed method reduces the positioning error.

- 23 -

Fig. 2.3-4 Cumulative distribution function ofFig. 2.3-3 System model.

positioning error with and without unknown
UEs.

[Grant-Free

Accessfor

Massive

Users](Koji

Ishibashi Lab.)

Next-generation
wireless
communication
BS
Unique LDS
Pilot
systems i.e. Beyond 5G and 6G, are expected tostructureDataaccommodate a massive number of devices. To theNull
end of realizing low-latency data transmission in
the presence of a massive number of devices,
designing multiple access schemes is crucial. As
one of the promising techniques, grant-free nonorthogonal multiple access (GF-NOMA) has been Fig. 2.3-5 GF-NOMA system based on
actively studied. In GF-NOMA, the base station(BS) does not exclusively assign radio resources to LDS-OFDM
active users for data transmission.
This academic year, we have proposed a GF-NOMA
scheme based on low-density signature orthogonalfrequency division multiplexing (LDS-OFDM), as shown in Fig. 2.3-5. In this scheme, each user
is allocated a unique LDS sequence corresponding to the low-density subcarrier allocation fordata transmission. A multi-antenna BS utilizes the LDS structure to improve the estimation
accuracy of the active users, channel coefficients, and transmitted data. In this process, the LDS
structure is exploited as the side information (SI) and utilized in the proposed SI-aided multiple
measurement vector approximate message passing (MMV-AMP). Computer simulation
confirms that our proposed scheme achieves better bit error rate performance than theconventional GF-NOMA system.
[Toward Practical Cell-Free Massive MIMO Systems] (Koji Ishibashi Lab.)

Cell-free massive multiple-input multiple-output (CF-mMIMO) system has attracted theresearch community and practitioners’ attention as a potential key architecture for nextgeneration wireless communication systems such as beyond 5G and 6G. CF-mMIMO system
can provide uniform quality of communication to all
Fig. 2.3.6 System model of multiple
users’ equipment (UEs) in the service area, throughCPUs cell-free massive MIMO
systems.

- 24 -

joint baseband signal processing at central processing units (CPUs) that connect distributed
access points (APs) via fronthaul links. However, the implementation of CF-mMIMO faces
serious challenges such as scalability and hardware limitations. It is in this regard that we
present the following contributions.
First, we proposed joint design of beamformers and clusters for multiple-CPU CF-mMIMO
under severe quantization noise due to backhaul link capacity limitation. The proposed joint
design enhances the performance by leveraging the benefits of cooperation among CPUs (seeFig. 2.3.6). Likewise, we also proposed a low-complexity clustering and beamforming design for
CF-mMIMO. The superiority of our proposed design method is illustrated through its
comparison with conventional cellular systems.
Second, we proposed scalable network-assisted full-duplex (NAFD) CF-mMIMO system (seeFig. 2.3.7) that achieves high spectral efficiency (SE) while reducing the fronthaul load byforming exclusive AP-clusters for uplink andFig. 2.3.7 System model of scalable
downlink based on each UE’s requirements. We
proposed clustering techniques based on convex network-assisted full-duplex cell-free
optimization and Hungarian algorithm, along withdownlink
power control. Our proposed
massive
MIMO
design outperforms conventional time division duplex (TDD) CF-mMIMO and dynamic TDD
small cell system.
[Advanced Signal Processing Technologies for Millimeter-Wave Channels] (Koji Ishibashi
Lab.)

Millimeter-wave (mmWave) communications are expected to be foundations of beyond 5G and
6G wireless architectures. (1) Channel estimation, (2) channel tracking, and (3) beamforming
techniques are necessary to compensate for severe signal attenuation by sharp beams based onchannel state information (CSI) to focus the power to specific regions.
• For (1) channel estimation: conventional model-based approaches are adversely
affected by array model errors such as mutual coupling, antenna gain/phase errors,
and antenna spacing errors. To address this problem, we proposed a channel
estimation algorithm that requires a small amount of pilot overheads thanks to the
exploitation of arrays’ error structures.
• For (2) channel tracking: the particle filter can update CSI accurately with few
training overheads, leading to high spectral efficiencies. However, this approachrequires a tremendous computational complexity for the Monte Carlo sampling
process. To avoid Monte Carlo sampling, we proposed compressive-sensing-based
channel tracking that exploits angle-domain sparsity in mmWave channels.
• For (3) beamforming: the corporative beamforming scheme overcomes random path
blockages while minimizing sum-of-outage probability for channel capacity overmmWave-coordinated multi-point (CoMP) transmissions. However, this scheme
considers the sum-of-outage probability only, leading to a significant sum data rate
loss. Therefore, we proposed a new beamformer design based on regularized sum-ofoutage minimization allowing a joint outage minimization and date rate maximization.
The numerical results confirm that the proposed approach achieves higher sum data
rates than the conventional one while maintaining comparable outage probabilities.
[High-Power

Analog

RoF

Transmission

Using

Communications]（Matsuura Lab）

- 25 -

Hollow-Core

Fiber

for

MobileIn optical fiber transmission systems, the transmission characteristics and applied
technologies are significantly influenced by optical fibers. Silica-core optical fibers have played acrucial role in these systems. However, high-power optical signal transmission, particularly insingle-mode fibers (SMFs), faces challenges due to nonlinear effects and power density
limitations in the small core area. Hollow-core fibers (HCFs) feature an air core, providing
various advantages such as ultra-low nonlinearity and low latency over conventional silica-core
optical fibers. Although some results have been published on single-channel, digital transmission
experiments using HCFs, no reports exist on high-power, multichannel transmission
experiments involving actual A-RoF data signals, to the best of our knowledge. In this year, wedemonstrate single- and four-channel transmissions with the A-RoF signal power exceeding 32
dBm using a 1-km HCF. To highlight its effectiveness, we conduct a comparative evaluation oftransmission characteristics using conventional silica-core optical fibers with the same length.
Our results show that both single-channel A-RoF transmission using the HCF achieve hightransmission characteristics, even when the A-RoF signal power input to the HCF exceeds 25
dBm.
(a)
(b)
Fig.
2.3.8
(a)
EVM
characteristics as a function of (a) received electrical signal power and (b) input optical power in 1 km
SMF and HCF transmissions.

Fig. 2.3.8(a) illustrates the EVM characteristics of one of the A-RoF signals of four-channel
SMF and HCF transmissions as a function of received electrical signal power. In this experiment,
the input A-RoF signal power to the test fibers and the PD was 20.03 dBm and 5.5 dBm,
respectively. As the attenuation was reduced, and the received electrical signal power wasincreased, the EVM decreased in all cases. However, slightly larger EVMs were observed overall
in the HCF link compared to the EVMs in the back-to-back and the SMF link at high electricalsignal power levels. We attribute this to the higher chromatic dispersion and transmission lossof the HCF link. Figure 2.3.8(b) displays the EVM characteristics of the 1 km SMF and HCF
transmissions while changing the input A-RoF signal power. The EVM of the SMF link rapidly
increased when the input signal power surpassed 21 dBm, surpassing the SBS threshold of the
SMF link. Subsequently, the EVM rose due to insufficient transmission power in the SMF link
and increased ASE noise from the two-stage EDFA as the input power to the SMF link increased.
In contrast, the HCF link maintained a small EVM, even at an input signal power of more than
25 dBm, indicating sustained high transmission characteristics without SBS during high-power
A-RoF signal transmission. These findings suggest that the HCF link maintains hightransmission characteristics in high-power A-RoF signal transmission.
[Hier-FedMeta: A Hierarchical Federated Meta-Learning Framework for Personalized andEfficient IoV Systems] (Celimuge Wu Lab)The Internet of Vehicles (IoV) enhances smart city functionalities by interconnecting diverse
components, yet it introduces significant challenges in terms of user privacy, communication- 26 -

efficiency, and energy consumption. Traditional federated learning frameworks, while adept ataddressing these concerns, fall short in personalization due to heterogeneous data distributions
among clients. To overcome this, we introduce Hier-FedMeta, a novel framework that combines
hierarchical federated learning with meta-learning to provide tailored and efficient solutions.
Hier-FedMeta contains a three-layer structure (Fig. 2.3.9 left), and its multi-layer architecture
is very suitable for complex scenarios of multi-layer communications. Furthermore, we perform
an in-depth analysis of the aggregation parameters, providing valuable insights into the
optimization of hierarchical federated meta-learning architectures. As shown in theexperimental results (Fig. 2.3.9 right), Hier-FedMeta achieves enhanced performance withminimal computational overhead as compared with exisitng baselines.

Fig. 2.3.9 Hier-FedMeta Framework and Experimental Results (left: three-layer structure of
Hier-FedMeta; right: accuracy of four different algorithms trained for 500 rounds).
[Node Clustering with Zero-overhead Information Exchange for Wireless Sensor Networks](Adachi Lab.)

Low power wide area networks (LPWANs), including long-range wide area network (LoRaWAN), that enablelong-distance communication with low-power consumption have been attracting attention along with thedevelopment of the Internet-of-Things (IoT). Carrier sensing (CS) is mandated before packet transmission insome regions and countries. However, the hidden node problem becomes more serious as the communication
area becomes larger. Packet-level index modulation (PLIM) assigns indexes to the frequency channel and timeslot of packet transmission to increase throughput. This study proposes a PLIM-based method to enable thegateway (GW) to obtain the sensing relationships among nodes without explicit signaling. The obtained
information can be used for node clustering and resource allocation to alleviate the hidden terminal problem.
Fig. 2.3.10 shows example of the spectral clustering results that the nodes in proximity are clustered in the samecluster, even though the location information of the node is unknown in the GW. For each simulation run, theshape of a cluster and the number of nodes within each cluster differ. However, the nodes close to each otherare in the same cluster. Fig. 2.3.10 shows the computer simulation result of the Packet delivery rate (PDR)
performance by up to 13% compared to the conventional method using PLIM. And can achieve a similar PDR- 27 -

performance as the situation where the inter-node distance is ideally known.

1.00

500

0.95

250

0.90

PDR

0.85

0
0.80

-250

0.75
0.70
0.65
250

Proposed clustering
Distance-based clustering
CAD-based PLIM

500

-500
-500

750 1000 1250 1500 1750 2000
Number of Nodes

-250

0

250

500

Fig. 2.3.10 PDR improvement of the proposed method against the conventional method and the results ofclustering.
0.20

Packet collision rate by hidden node problem[Decentralized Packet Collision Avoidance for
LPWAN] (Adachi Lab.)
Low-power wide-area networks (LPWANs) haverecently attracted much attention from both industry
and academia. In some LPWAN applications, periodic
uplink (UL) traffic dominates the network traffic. Since
LPWANs adopt pure ALOHA, continuous packet
collisions may occur in the periodic UL traffic. Because

0.15

0.10

0.05

0.00
0

of this background, listen-before-talk (LBT) based

1000

2000

3000

4000

Elapsed time [min]medium access control (MAC) has been studied as analternative to ALOHA. The LBT scheme changes
transmission timing based on the carrier sense (CS)result. When a node detects the signal by CS, the node

Figure 2.3.11. Packet collision rate by hidden
node problem per number of frequency channels

K
can avoid radio resource conflict by probabilistically backoff the transmission timing. However, packet
collisions frequently occur in LPWANs with large communication areas due to the hidden node problem.
Thus, this study proposes an autonomous distributed resource allocation scheme that utilizes the CS and UL
traffic periodicity for the purpose of reducing packet collision rate by hidden node problem. In the proposed
scheme, each node detects hidden nodes based on DL signals from the GW to cope with the hidden node problem.
Since the DL signal from the GW generally reaches all nodes, the DL signal to the hidden node is more likely
to be detected by the CS. If a node detects a DL signal by the CS, the node may be able to avoid packet collisions
with hidden nodes by changing the wireless resources to be used. As shown in Fig. 2.3.11, the computer
simulation results, the proposed scheme can reduce the packet collision rate by hidden node problem
performance by up to about 15% compared to conventional LBT-based scheme (called CSMA-x).
- 28 -

[Fractional Spreading Factor (FSF)-LoRa] (Adachi Lab.)
Recently, low power wide area network) technology is expected to be applied to environmental monitoring andsmart agriculture because it provides low power consumption and long-distance communications, compared toshort-distance wireless communications technology like Zigbee, Bluetooth. However, LPWAN technology has
its merits, it is also known to have characteristic of low data rate. We focused on LoRaWAN,it is one of the
LPWAN technology, which has open source MAC layer and uses unlicensed bandwidth, and studied for LoRa
PHY. The LoRa signal characterize the spreading factor (SF) as the carried amount of bits by one LoRa symbol.
SF is an integer value, typically between 7 and 12. The signals with different SF are semi-orthogonal. We
introduced fractional coefficient 0 ≤ # < 1 to increase the symbol length by the fractional coefficient, andstudied the fractional spreading factor (FSF) used it. This new LoRa is named FSF-LoRa, and FSF-LoRa enables
an increase in the number of usable channels, thereby increasing the overall throughput of the system. A
demodulator for FSF-LoRa was designed and evaluated by computer simulation. In the simulations, we
compared the throughput in the AWGN environment for the following three pairs: the pair used LoRa with SF=7
and FSF-LoRa with fractional coefficient # = 0.25 (*! = {(7, # = 0.25), 7}), the pair used normally system(*" = {7,8}), the same SF pair (*# = {7,7}). Fig. 2.3.12 shows improving throughput up to about 14% by
multiplexing FSF-LoRa signal when the signal-to-noise-ratio (SNR) higher than -10[dB].

Fig.2.3.12. Throughput performance of the proposed FSF-LoRa[Vision-aided Intelligent Reflecting Surface] (Suto Lab.)Intelligent reflecting surface (IRS) is a promising technology that can significantly improve theperformance of wireless communications, by smartly control radio propagation path. Specifically,
it is effective to improve the signal strength to non-line-of-sight (NLOS) area; however, thedynamic control of reflected signal is challenge due to the lack of signal processing at IRS.
Therefore, we focus on vision-aided intelligent reflecting surface (Fig. 2.3-X). In the system, IRS
detects the low-SNR area from vision information and create the optimal reflect path with phaseshift control. As a first step, we develop a mathematical model to evaluate the achievable rateof vision-aided IRS under Rician fading environment with different IRS design, i.e., gain,
spatial correlation between element, element density, etc (Fig. 2.3-13).

- 29 -

IRS
High-data rate andpower transfer via IRS

LowSNRAP

Low-SNR due toshielding
Low-SNR

IRS

Fig. 2.3-13 Vision-aided IRS system, where
IRS control phase-shift based on vision

Fig. 2.3-13 The impact of element design on
the achievable rate

2.3.4 Funds【Grants-in-Aid for Scientific Research】
1. Scientific Research B “Establishment of Cell-Free Network Architecture for User-CentricCommunications”
Koji Ishibashi
2. Scientific Research Fostering Joint International Research Type B “Simultaneous
Wireless Information and Power Transfer with Intelligent Reflecting Surface”
Katsuya Suto
3. Scientific Research B “Sensor Networks with High Speed Environmental Adaptation by
Recognition of Synthesizing Wave”
Takeo Fujii (PI belongs to other organization)
4. Scientific Research B “Quantum Optimization Accelerating High-Speed, High-Capacity
Wireless Communications”
Koji Ishibashi (PI belongs to other organization)
5. Scientific Research B “Collaborative information processing platform for vehicular IoT
based on federated learning”
Celimuge Wu【Commissioned Research】
1. MIC SCOPE “Research and Development of Advanced Wireless Environmental
Information Sharing Sensor Networks”
Koichi Adachi, Takeo Fujii (PI belongs to other organization)
2. NICT B5G “Research and Development of Integrated Information and Power Transfer- 30 -

Systems for Private B5G/6G in Indoor Environments”
Koichi Adachi, Takeo Fujii
3. MIC “Research and development of advanced optical transmission technology that
contributes to a green society”
Motoharu Matsuura
4. NICT B5G “Construction of a highly efficient wireless communication system using highpower radio-over-fiber transmission”
Motoharu Matsuura
5. NICT JUNO3 “End-to-end network slicing and orchestration in future programmableconverged wireless-optical networks”
Motoharu Matsuura
6. MIC SCOPE “Communication Cost Reduction and Reliability Improvement for AMR
Autonomous Driving”
Celimuge Wu (PI belongs to other organization)
7. JSTASPIERE“Open

DigitalInfrastructure

Telecommunications and AI”
Celimuge Wu (PI belongs to other organization)【Cooperative Research】
1. Hakusan Corporation, Motoharu Matsuura
2. NEC Corporation, Takeo Fujii
3. KDDI Research Inc., Koji Ishibashi
4. Ericsson AB, Koji Ishibashi
5. Softbank Corporation, Takeo Fujii
6. Toyota Motor Corporation, Celimuge Wu
7. Takenaka Corporation, Koji Ishibashi- 31 -

throughtheConvergenceof2.4 Division of Next Generation Wireless Networks
2.4.1 Purpose of Division
R&D of Next Generation Wireless Systems, Sensor Networks, and intelligent distributed
Networks, contributing to development of society by empowering next generation intelligent
network systems.

2.4.2 Research Staffs and Their Specialties
Prof. Celimuge Wu (Division Leader, Distributed NW)
Prof. Takeo Fujii（Cognitive Radio）
Prof. Koji Ishibashi（Distributed NW）
Associate Prof. Koichi Adachi (Future NW)
Associate Prof. Katsuya Suto (Future NW)

2.4.3 Major Research Results in 2023
[Fuzzy Logic-Enhanced Edge Server Selection Method for Hierarchical Federated Learning](Celimuge Wu Lab.)In the complex landscape of hierarchical federated learning (HFL) within the vehicular
networks, ensuring efficient edge server selection is important due to the uncertain network
conditions and server capabilities. Selecting the most suitable edge servers is critical for
managing the computational demands and optimizing resource allocation in HFL tasks. To
address this challenge, we introduce a fuzzy logic based approach for intelligent edge server
selection, aimed at enhancing the overall efficiency and performance of the HFL system. By
integrating this approach with our previously developed client selection scheme, we first selectthe optimal edge servers and then the appropriate clients, forming a complete and efficientarchitecture for HFL. The proposed method evaluates edge servers based on criteria such as
Available Throughput (AT), Device Load (DL), and Computational Capability (CC), utilizing
fuzzy logic to accommodate the unpredictable network environments. Our prototype system (Fig.
2.4-1 left) employs a setup with Raspberry Pis, mini PCs and laptops as federated learningclients, demonstrating the practical application of our method. Experimental results (Fig. 2.4-1
right) reveal the method's effectiveness in improving HFL accuracy compared to baseline
methods. The proposed fuzzy logic based selection scheme thus exhibits a marked superiority,
optimizing federated learning in IoT scenarios by intelligently navigating the challenges of edge
server and client selection.

- 32 -

Fig. 2.4-1 Client Selection for FL (left: prototype system; right:. accuracy comparison between
the proposed scheme and other baselines).

[Semantic Communication for Efficient Image Transmission Tasks based on Masked
Autoencoders] (Celimuge Wu Lab.)

Semantic communication is emerging as a critical technology for 6G mobile communications
due to its promise for high reliability, high spectrum efficiency, and its ability to meet thecomplex demands of future communication networks. This innovative approach focuses on
extracting and transmitting the semantic features of information sources, offering a newparadigm that goes beyond the conventional methods guided by classical information theory.
However, existing studies tend to focus more on image reconstruction rather than accuratelytransmitting semantic information at the pixel level. We design a semantic communication
system for efficient image transmission tasks based on Masked Autoencoders. The proposedsystem compresses local information into low-dimensional latent vectors which can improvesystem efficiency. We also design a selective module for enhanced image reconstruction (Fig.
2.4-2 left) and implement Noise Adversarial Training to increase the system's resilience tochannel noise. Experimental results (Fig. 2.4-2 right) show that our method effectively improves
downstream tasks while preserving image quality.

- 33 -

Fig. 2.4-2 Simulation Results (left: Reconstructed images versus mask sampling strategies;
right: The classification accuracy between the proposed system and other baselines).
[Efficient Communication Techniques for Wireless Sensor Networks] (Ishibashi Lab.）

The abnormalities caused by disasters such as
proposed method assigns IDs with close Hamming
distances to neighboring sensors. Each sensor transmits
its ID to a gateway upon detecting an anomaly. The
gateway then tries to detect multiple IDs from thecollided

received

signals.

Our

proposedmethoddemonstrates efficient detection by incorporating a total

Decoding Error Probability

earthquakes tend to be localized. With this in mind, our

100

10-1

10-2

10-3
0.30

0.35

0.40

0.45

Entropyvariation regularizer into Boolean compressed sensing.

Fig. 2.4-3 Decoding performanceThis fiscal year, we further discussed the design of polar codes for the Encryption-then-Compression (EtC) technique using density evolution. Figure 2.4-3 shows the decoding
performance of the proposed EtC scheme with different list sizes. These results show that our
proposed method exhibits lower decoding performance than conventional methods with LDPC
codes design for IEEE802.11.
[Decentralized Learning Techniques for Pervasive Network Intelligence] (Suto Lab.）

Pervasive network intelligence is a concept thataims to distribute intelligence model throughout a
network in order to autonomously, adaptability,
efficiently recognize its state and make optimal
decisions. In the system, artificial intelligence andmachine learning for recoginition and decsion are
also gradually trained to fit the network state.
Therefore,

we

need

to

developstableandFig. 2.4-4 Overfitting progress

decentralized learning tecniques.
In this academic year, we desing a novel distibuted federated learning techniques that utilizes
the deep joint-source channel coding for model sharing. Deep joint-source channel coding hasbenn recoginized as efficient communicaiton system for image transfer; however, it can notprovide bit-level accurate communications due to the impact of channel noise. Our proposal focus
on the characteristic of channel noise. Assuming the channel noise follows the gaussian
distribution, the noise make the AI model robust to overfitting. As shown in Figure 2.4-4, we
confirm that the proposal ahicves high stability on overfitting.
[LoRa System Data Rate Improvement with Chirp Index Partitioning] (Adachi Lab.）The rapid development and popularization of Internet-of-Things (IoT) technologies have driven demand for- 34 -

low-power wide-area networks (LPWANs) for years. Long range wide area network (LoRaWAN), whichenables long-distance communications with low power consumption, has increased in recent years. Although
LoRaWAN is capable of low-power long-distance communication, its data rate is low. Most existing researchworks focus on increasing the data rate of a single device. However, from the viewpoint of LPWAN applications,
it is desirable to accommodate a number of devices with a low data rate. This study aims to increase the systemdata rate by dividing the chirp index space into orthogonal subspaces and allocating nonoverlapping subspaces
to multiple devices, enabling simultaneous transmission from multiple devices. Set the chirp index used by theterminal as shown in Fig. 2.4-5. With the allocation shown in this figure, each device in each group can transmit
2 SF-5 bits in one symbol time. Each signal is orthogonal and can be demodulated. In addition, in order todemodulate the multiple signals transmitted on the distinct chirp index subspace, it is necessary to understandthe receive timing difference between the multiple signals received at GW. In this study, we also propose amethod to estimate the receive timing difference at GW using the preamble sent by LoRa devices. We confirmed
the usefulness of the proposed method by computer simulation. Figure 2.4-6 shows the throughput performanceof the proposed method and conventional LoRa modulation. The proposed method randomly selects the arrival
timing difference between two signals from 2 ∈ {−31, ⋯ , 31}. For performance evaluation, the throughput
performance of the conventional LoRa with a single device is plotted. The figure shows that the proposed
method improves the system data rate by up to 175％ compared to the conventional LoRa system.

Fig. 2.4-5. Example of chirp index partitioning for two users.

Fig. 2.4-6. Throughput performance of the proposed method compared to the conventional LoRa.
[Packet Reception Utilizing Multi-Antenna Beamforming in IRDT Protocol] (Fujii Lab.)
Wireless sensor networks (WSNs) are utilized to collect data packets containing
environmental information from sensor nodes (SNs) to aggregation stations like concentrators.
Low Power Wide Area (LPWA) is often utilized in WSNs to reduce the power consumption of SNs.
LPWA enables low-power and long-range communications. However, even with LPWA networks,
the deployment of more concentrators to receive data packets from enormous SNs placed in alarge area is unavoidable, resulting in a high deployment cost. In that case, beamforming would
be a useful method, which provides array gain and suppresses interference power by directionalsignal transmission or reception. Besides the use of beamforming, reducing the power
consumption of SNs is a critical concern. One potential solution is intermittent communication,- 35 -

such as the intermittent receiver-driven data transmission (IRDT) protocol. Therefore, this study
proposes a packet reception method utilizing digital beamforming based on the IRDT protocol.
Fig. 2.4-7 shows the system model. In our proposed system, we deploy a concentrator equippedwith an array antenna for digital beamforming, which employs beam sweeping during downlink
beacon called request number (RNO) transmission to mitigate collisions of send request (SREQ)
packets from SNs. Furthermore, we utilize multiple digital reception beams in parallel, allowing
for the simultaneous decoding of multiple packets in uplink transmission.
To evaluate the proposed method, computer simulations were executed using the C language.
In Fig. 2.4-8, “Omnidirectional” is a previous method using an omnidirectional antenna at theconcentrator. Fig. 2.4-8 shows that the proposed method achieved better PDR than the previous
method. This is because interference due to hidden SNs is suppressed and simultaneous
reception is achieved by the parallel processing. Therefore, the superiority of digital beamforming
appears.

Fig. 2.4-7 System model.

Fig. 2.4-8 Average PDR.

2.4.4 Funds【Grants-in-Aid for Scientific Research】
1. Scientific Research C “Chirp Index Partitioning for Efficient Data Gathering in IoT”,
Koichi Adachi (PI)
2. Scientific Research A “Researches on Model-aided Learning Approaches for Reliable
Realtime Control in Future Wireless Systems”
Celimuge Wu (PI belongs to other organization)【Commissioned Research】
1. JST AdCORP “Green IoT”
Koji Ishibashi (PI belongs to other organization)
2. JST Aspire, “Resilient Cyberspace Generative Framework with Communication, Sensing
and Learning Integration"
Katsuya Suto (PI)
3. MIC SCOPE, “Ultra Wide Area and Interference Tolerance Sub-GHz Wireless Sensor
Network on Mixed Environment of Multiple Systems”- 36 -

Takeo Fujii
4. MIC SCOPE, “Layer-integrated Communication Control for Efficient Spectrum
Utilizations”
Takeo Fujii【Cooperative Research】
1. Tokyo Gas Co. Ltd., Koji Ishibashi and Takeo Fujii
2. Takenaka Corporation, Koji Ishibashi
3. TIS Inc., Celimuge Wu, Takeo Fujii, and Katsuya Suto
4. Toyota Motor Corporation, Celimuge Wu- 37 -

４．令和 5 年度

外部発表リスト

著書なし

査読付き一般論文【1】 Ying Gao and Takeo Fujii 、“ A Kriging-Based Radio Environment Map
Construction and Channel Estimation System in Threatening Environments”、IEEE Access 、 vol. 11 、 pp. 38136-38148 、 Apr. 2023 、 doi:
10.1109/ACCESS.2023.3267973.
【2】 Jiantao Yuan、Zheyi Wu、Rui Yin、Guangzhe Zhao、Xianfu Chen、and Celimuge
Wu、“An Optimal Distributed Energy-Efficient Resource Scheduling for D2DU Enabled Cellular Networks”、IEEE Trans. Cogn. Commun. Netw.、vol.9、no.4、pp.1053-1066、Apr. 2023.
【3】 Yuma Katsuki、Giuseppe Thadeu Freitas de Abreu、Koji Ishibashi and Naoki
Ishikawa、“Noncoherent Massive MIMO With Embedded One-Way Function
Physical Layer Security”、IEEE Trans. Inf. Forensics and Secur.、vol. 18、pp.
3158-3170、May 2023.
【4】 Takumi Takahashi、Hiroki Iimori、Keigo Ando、Koji Ishibashi、Shinsuke Ibi、and Giuseppe Thadeu Freitas de Abreu 、“ Bayesian Receiver Design via
Bilinear Inference for Cell-Free Massive MIMO with Low-Resolution ADCs”、IEEE Trans. Wireless Commun.、vol. 22、no. 7、pp. 4756-4772、Jul. 2023.
【5】 Shusuke Narieda and Takeo Fujii、“Energy Detection Based Carrier Sense in
LPWAN ”、 IEEE Access 、 vol.11 、 pp.79105-79119 、 Jul. 2023. 、 doi:
10.1109/ACCESS.2023.3299219.
【6】 Sota Uchimura、Hiroki Iimori、Giuseppe Thadeu Freitas de Abreu and Koji
Ishibashi 、“ Outage-Minimization Coordinated Multi-Point for MillimeterWave OFDM with Random Blockages”、IEEE Trans. Veh. Technol.、vol. 72、no. 7、pp. 8783-8796、Jul. 2023.
【7】 Yangfei Lin、Celimuge Wu、Jiale Wu、Lei Zhong、Xianfu Chen、and Yusheng
Ji 、“ Meta-Networking: Beyond the Shannon Limit with Multi-faceted
Information”、IEEE Network、vol.37、no.4、pp.256-264、Jul./Aug. 2023.
【8】 Kosei Tanii and Koji Wada、“Planar Quadruplexer with Adjacent Passbands
Using BandpassFilters Based on Dual-path Hairpin Resonators ”、Transactions of The Japan Institute of Electronics Packaging、16、pp. E22006-1-E22-006-8、Aug. 2023.
【9】 Weiyu Zhou、Koji Wada、and Kenichi Ohta、“The Design Method of Compact- 38 -

Mutiplexer based on New Substrate Integrated Defected Ground Structure”、Transactions of The Japan Institute of Electronics Packaging、16、pp. E23001-1-E23-001-13、Aug. 2023.
【10】 Ying Ju、Guoxue Zou、Haowen Bai、Lei Liu、Qingqi Pei、Celimuge Wu、and Sattam Al Otaibi、“Random Beam Switching: A Physical Layer Key
Generation Approach to Safeguard mmWave Electronic Devices”、IEEE Trans.
Consum. Electron.、vol.69、no.3、pp.594-607、Aug. 2023.
【11】 Rui Yin、Xiao Lu、Chao Chen、Xianfu Chen、and Celimuge Wu、“Distributed
Resource Management in Unlicensed Assisted Mobile Edge Computing”、IEEE Internet Things J.、vol.10、no.23、pp.20662-20674、Aug. 2023.
【12】 Ryota Kumada and Koichi Adachi 、“ Interference Cancellation for
Coexistence of LoRaWAN with Wireless Power Transfer”、IEEE InternetThings J. 、 vol.10 、 no.15 、 pp.13109-13122 、 Aug. 2023 、 DOI:
10.1109/JIOT.2023.3259472.
【13】 Etsuko Ijima、Kun Li、Takashi Hikage、Akiko Nagai、Murakami Yasutaka、
Arima Takuji、Ishitake Tatsuya、and Hiroshi Masuda、“Intensity-dependent
temperature rise induced by local exposure to 26.5 GHz quasi-millimeterwave in rat”、in vivo、vol.37、no.5、pp.2092-2099、Sep. 2023.
【14】 Weiyu Zhou and Koji Wada、“A New SIDGS-Based Tunable BPF Design
Method with Controllable Bandwidth”、IEICE Trans. Electron.、vol.E106-C、no.10、pp.614-622、Oct. 2023.
【15】 Kun Li、Takashi Hikage、Hiroshi Masuda、Etsuko Ijima、Akiko Nagai、and
Kenji Taguchi、“Parameter variation effects on millimeter wave dosimetry
based on precise skin thickness in real rats”、Scientific Reports、vol.13、Oct.
2023、Art. no. 17397.
【16】 Ming Yao、Stanislav Stefanov Zhekov、Bo Xu、Kun Li、and Shuai Zhang、“ A Study on Exposure to Electromagnetic Fields From User Equipment
Antennas above 100 GHz”、IEEE Trans. Electromagn. Compat、vol.65、no.5、
pp.1292-1299、Oct. 2023.
【17】 Shuo Yang、Xiaolong Wang、Lei Zhu、Xin Gao、Kun Li、Valerii Shulga、and Geyu Lu、“A Novel Ring Type Power Divider With Arbitrary Power
Division、Arbitrary Phase Difference and Controllable Bandwidths”、AEU International Journal of Electronics and Communications、vol.170、no.7、
pp.154773、Oct. 2023.
【18】 Jingjing Bao、Celimuge Wu、Yangfei Lin、Lei Zhong、Xianfu Chen、and Rui
Yin、“A scalable approach to optimize traffic signal control with federated
reinforcement learning”、Scientific Reports、vol.13、Article number:19184、https://doi.org/10.1038/s41598-023-46074-3、Nov. 2023.

- 39 -

【19】 Guangji Chen、Qingqing Wu、Celimuge Wu、Mengnan Jian、Yijian Chen、
Wen、“Static IRS Meets Distributed MIMO: A New Architecture for Dynamic
Beamforming”、IEEE Wireless Commun. Lett.、vol.12、no.11、pp.1866-1870、Nov. 2023.
【20】 Jie Feng、Liu Lei、Xiangwang Hou、Qingqi Pei、and Celimuge Wu、“QoE
Fairness Resource Allocation in Digital Twin-Enabled Wireless Virtual
Reality Systems”、IEEE J. Sel. Areas Commun.、vol.41、no.11、pp.3355-3368、Nov. 2023.
【21】 Bin Li、Zhen Qian、Lei Liu、Yuan Wu、Dapeng Lan、and Celimuge Wu、“Computation Offloading for Edge Computing in RIS-Assisted Symbiotic
Radio Systems”、 IEEE Trans. Netw. Sci. Eng.、vol.10、no.6、pp.4033-4045、Nov.-Dec. 2023.
【22】 Masaaki Ito、Shuto Fukue、Keigo Ando、Issei Kanno、Kosuke Yamazaki、and Koji Ishibashi、“Clustering and Beamforming for User-Centric Cell-Free
Massive MIMO With Backhaul Capacity Limitation”、IEEE Access、vol. 12、
pp. 382-395、Dec. 2023.
【23】 Jingwei Liu、Yue Fan、Rong Sun、Lei Liu、Celimuge Wu、Shahid Mumtaz、“Blockchain-Aided Privacy-Preserving Medical Data Sharing Scheme for EHealthcare System”、IEEE Internet Things J.、vol.10、no.24、pp.21377-21388、
Dec. 2023.
【24】 Kun Li、Kensuke Sasaki、Giulia Sacco、and Maxim Zhadobov、“Clothing
Effect on Multilayered Skin Model Exposure from 20 GHz to 100 GHz”、IEEE
J. Electromagn. RF Microw. Med. Biol.、vol. 7、no. 4、pp. 408-415、Dec. 2023.
【25】 Ryuji Miyamoto、Osamu Takyu、Koichi Adachi、Takeo Fujii、and Mai Ohta、“Data Gathering Method with High Accuracy of Environment Recognition
Using Mathematical Optimization in Packet-level Index Modulation”、IEICE
Trans. Commun. Special Section on Emerging Communication Technologies
in Conjunction with Main Topics of ICETC2022、vol. 106E-B、no. 12、Dec.
2023.
【26】 Kun Li、Sachiko Kodera、Dragan Poljak、Yinliang Diao、Kensuke Sasaki、Shuai Zhang、Ming Yao、Ante Lojic Kapetanovic、Congsheng Li、Tongning
Wu、Thorsten Liebig、Winfried Simon、and Akimasa Hirata、“Spatially
Averaged Epithelial/Absorbed Power Density for Non-Planar Skin Models
Exposed to Antenna at 10–90 GHz”、IEEE Access、vol. 12、pp. 15379-15389、Jan. 2024.
【27】 Yujie Song、Yue Cao、Yingzhe Hou、Bo Cai、Celimuge Wu、and Zhili Sun、
“ A Channel Perceiving-based Handover Management in Space-ground
Integrated Information Network”、IEEE Trans. Netw. Serv. Manag.、vol.21、- 40 -

no.1、pp.882-896、Feb. 2024.
【28】 Hai Xue、Di Zhang、Celimuge Wu、Yusheng Ji、Saiqin Long、Cheng Wang、
and Takuro Sato 、“ Parameter Estimation-Aided Edge Server Selection
Mechanism for Edge Task Offloading”、IEEE Trans. Veh. Technol.、vol.73、no.2、pp.2506-2519、Feb. 2024.
査読付き国際会議プロシーディングス等【1】 Yuya Yaguchi、Suguru Fujita、Shih-Chun Lin、Suresh Subramaniam、Hiroshi
Hasegawa、Motoharu Matsuura、“Evaluation of response time of power-overfiber for dynamic power control of remote antenna units in mobile networks”、
in Proc. The 5th Optical Wireless and Fiber Power Transmission Conference(OWPT 2023)、OWPTp-01、Yokohama、Apr. 2023.
【2】 Jiaxin Song、Ying Ju、Lei Liu、Qingqi Pei、Celimuge Wu、Mian Ahmad Jan、and Shahid Mumtaz、“Trustworthy and Load-Balancing Routing Scheme forSatellite Services with Multi-Agent DRL”、in Proc. IEEE INFOCOM 2023
Workshop on AI-Driven Trustworthy 、 Secure 、 and Privacy-Preserving
Computing (AidTSP 2023)、6 pages、New York area、USA、May 2023.
【3】 Zhenyu Wang、Tianheng Xu、Xianfu Chen、Ting Zhou、Honglin Hu、andCelimuge Wu 、“ Enhance Detection of SSVEPs through a SinusoidalReferenced Task-Related Component Analysis Method ”、 in Proc. IEEE
INFOCOM 2023 Workshop on Pervasive Network Intelligence for 6G
Networks (PerAI-6G)、6 pages、New York area、USA、May 2023.
【4】 Ming Yao、Kun Li、and Shuai Zhang、“Comparisons of Absorbed power density
and Incident Power Density for EMF exposure in the near-field at 10–90 GHz”、
Swedish Microwave Days 2023、Stockholm、Sweden、May. 2023.
【5】 Ante Kapetanovi´c、Dragan Poljak、and Kun Li、“Standardized benchmark
dataset for localized exposure to a realistic source at 10-90 GHz”、The Joint
Annual Meeting of The Bioelectromagnetics Society and the European
BioElectromagnetics Association (BioEM2023)、Oxford、England、Jun. 2023.
【6】 Kaito Sugimura、Takashi Hikage、Hiroshi Masuda、Tatsuya Ishitake、Kun
Li、and Akiko Nagai、“Development of a 60 GHz Band Lens Antenna for The
Study of Thermo- physiological and Cellular Function Changes Induced byMillimeter-wave Exposure ” 、 The Joint Annual Meeting of The
Bioelectromagnetics Society and the European BioElectromagnetics
Association (BioEM2023)、Oxford、England、Jun. 2023.
【7】 Masaaki Miura、Katsuya Suto、Koya Sato、and Onel Luis Alcaraz López、“Performance Analysis for IRS-Assisted SWIPT with Optimal Phase Shiftunder Spatially Correlated Fading Channels”、in Proc. IEEE 97th Vehicular- 41 -

Technology Conference、Jun. 2023、pp. 1-5.
【8】 Takanori Hara and Koji Ishibashi、“Completely-Blind Efficient Receiver for
Asynchronous Massive Grant-Free NOMA”、in Proc. IEEE Communication
Theory Workshop (IEEE CTW 2023)、Hualien、Taiwan、Jul. 2023.
【9】 Kohei Ueda、Takanori Hara and Koji Ishibashi、“Practical Grant-Free NOMA
Based on Low-Density Structured OFDM”、IEEE Communication Theory
Workshop (IEEE CTW 2023)、Hualien、Taiwan、Jul. 2023.
【10】 Hayato Mukasa and Takeo Fujii 、“ Hidden Node Recognition Utilizing
Wireless LAN Sensing Data in Indoor Environments”、in Proc. ICUFN 2023、
Paris、France、Jul. 2023.
【11】 Shota Yamada、Takeo Fujii、Katsuya Suto、and Koya Sato、“Observation
Data and 3D Map-Based Radio Environment Estimation for Drone WirelessCommunications”、in Proc. ICUFN 2023、Paris、France、Jul. 2023.
【12】 Kun Li、“Frequency Dependence Analysis of MMW Human-Skin Exposureusing Regression Algorithm ”、 in Proc. 2023 International Workshop on
Electromagnetics: Applications and Student Innovation Competition (iWEM
2023)、Harbin、China、pp. 29-30、Jul. 2023.
【13】 Yuetian Wang、Zizhuo Sun、Xianwang Yang、Kun Li、Xiaolong Wang、
Gennadi Milinevsky 、 and Geyu Lu 、“ A Ring Type Bandpass Filtering
Impedance Transformer With Complex Load”、in Proc. 2023 International
Workshop on Electromagnetics: Applications and Student Innovation
Competition (iWEM 2023)、Harbin、China、pp. 101-104、Jul. 2023.
【14】 Hiroshi Masuda、Etsuko Ijima、Takashi Hikage、Kun Li、Sachiko Kodera、Akimasa Hirata 、 and Tatsuya Ishitake 、“ Effects of high intensity local
exposure to 26.5 GHz-millimeter-waves on glial cells in rat brain”、in Proc.
of 2023 XXXIIIrd General Assembly and Scientific Symposium of theInternational Union of Radio Science、Session K01、Sapporo、Japan、Aug.
2023.
【15】 Naomi Kamizawa、Etsuko Ijima、Tatsuya Ishitake、Akiko Nagai、Takashi
Hikage、Kun Li、and Hiroshi Masuda、“Histological effects of high intensity
local exposure to 26.5 GHz-millimeter waves on dorsal skin in rat”、in Proc.
2023 XXXIIIrd General Assembly and Scientific Symposium of theInternational Union of Radio Science、Session K01、Sapporo、Japan、Aug.
2023.
【16】 Emi Hidaka、Etsuko Ijima、Yukina Tsuruta、Tatsuya Ishitake、Akiko Nagai、Takashi Hikage、Kun Li、and Hiroshi Masuda、“Effects of local exposure to26.5 GHz-millimeter wave on neuronal cells in rat brain”、in Proc. 2023
XXXIIIrd General Assembly and Scientific Symposium of the International- 42 -

Union of Radio Science、Session K01、Sapporo、Japan、Aug. 2023.
【17】 Ante Kapetanovi´c、Dragan Poljak、and Kun Li、“Prediction of Maximum
Temperature Rise on Skin Surface for Local Exposure at 10–90 GHz”、in Proc.
2023 XXXIIIrd General Assembly and Scientific Symposium of theInternational Union of Radio Science、Session K07、Sapporo、Japan、Aug.
2023.
【18】 Kun Li、Sachiko Kodera、Dragan Poljak、Yinliang Diao、Kensuke Sasaki、Anna Susnjara、Alexander Prokop、Kenji Taguchi、Jingtian Xi、Shuai Zhang、Ming Yao、Giulia Sacco、Maxim Zhadobov、Walid El Hajj、and Akimasa Hirata、“Intercomparison of Spatially Averaged Absorbed Power Density above 10
GHz”、in Proc. 2023 XXXIIIrd General Assembly and Scientific Symposiumof the International Union of Radio Science、Session K07、Sapporo、Japan、Aug. 2023.
【19】 Kun Li、Giulia Sacco、Bernard Uguen、and Maxim Zhadobov、“Analytical
Channel Model for On-Body Antenna at 60 GHz ”、 Proceedings of 2023
XXXIIIrd General Assembly and Scientific Symposium of the International
Union of Radio Science、Session KD、Sapporo、Japan、Aug. 2023.
【20】 Takumi Tanagi and Koichi Adachi 、“ Dynamic Path Planning for QoS
Improvement in Multiple Automated Guided Vehicles”、in Proc. 2023 VTS
Asia Pacific Wireless Commun. Symp. (APWCS)、pp.1-5、Tainan、Taiwan、
23-25、Aug. 2023.
【21】 Takuma Kuno、Takuro Ochiai、Reiji Higuchi、Kazato Satake、Kenji Cruzado、
Ryuji Munakata、Yojiro Mori、Shih-Chun Lin、Motoharu Matsuura、Suresh
Subramaniam、and Hiroshi Hasegawa、“4.71-pbps-throughput multiband
OXC based on space- and wavelength-granular hybrid switching”、in Proc.
Photonics in Switching and Computing (PSC 2023)、Th2A.2、Mantova、Italy、Sep. 2023.
【22】 Kenji Cruzado、Yojiro Mori、Shih-Chun Lin、Motoharu Matsuura、Suresh
Subramaniam、and Hiroshi Hasegawa、“Effective Capacity estimation basedon cut-set load analysis in optical path networks”、in Proc. Photonics in
Switching and Computing (PSC 2023)、Th4A.2、Mantova、Italy、Sep. 2023.
【23】 Tetsuyuki Itoh、Masaki Sagara、and Motoharu Matsuura、“40 Gb/s operationof photonic digital-to-analog conversion using frequency chirp in a QD-SOA”、
in Proc. Photonics in Switching and Computing (PSC 2023)、Fr1B.2、Mantova、
Italy、Sep. 2023.
【24】 Fuminori Sakai、Kazuo Ohta、Yoshimasa Amano、Mitsuo Makimoto、and
Koji Wada、“IR-UWB Reader for Credit Card-Sized NFC Chipless RFID Tag
using Asymmetrical Stepped Impedance Resonators” 、 in Proc. European- 43 -

Microwave Week 2023 (EuMW 2023)、EuMC34-5、Berlin、Germany、19-21、Sep. 2023.
【25】 Keigo Saito、Takeo Fujii、Koji Ishibashi、Yu Shibata、Soma Toki、and Hideki
Endo、“Packet Aggregation Utilizing Multi-Antenna Beamforming in IRDT
Protocol”、in Proc. VTC2023-Fall、Hong Kong、China、Oct. 2023.
【26】 Kabuto Arai and Koji Ishibashi、“Self-Calibration for Channel Estimation in
Hybrid Millimeter-Wave MIMO Systems”、in Proc. 2023 IEEE 98th VehicularTechnology Conference (VTC2023-Fall)、Tung Chung、Hong Kong、Oct. 2023.
【27】 Koushi Okui、Keigo Ando、Giuseppe Thadeu Freitas de Abreu、and Koji
Ishibashi、“Scalable Network-Assisted Full-Duplex Cell-Free Massive MIMO
With Limited Fronthaul Capacity”、2023 IEEE 98th Vehicular Technology
Conference (VTC2023-Fall)、Tung Chung、Hong Kong、Oct. 2023.
【28】 Jiale Wu、Celimuge Wu、Yangfei Lin、Jingjing Bao、Zhaoyang Du、Lei Zhong、
Xianfu Chen、and Yusheng Ji、“Semantic Communication for Efficient Image
Transmission Tasks based on Masked Autoencoders”、in Proc. IEEE VTC2023Fall、5 pages、Oct. 2023.
【29】 Soufiene Djahel、Yassine Hadjadj Aoul、Renan Pincemin、and Celimuge Wu、“COALITION: CAVs-enabled Probabilistic Offloading of Congested Lanes for
Reduced Urban Traffic Congestion”、IEEE VTC2023-Fall、5 pages、Oct. 2023.
【30】 T Ochiai、T. Kuno、R. Munakata、Y. Mori、S.-C. Lin、M. Matsuura、S.
Subramaniam 、 H. Hasegawa 、 “Experimental demonstration of 128×128
optical cross-connects with 2.45 Pbps throughput” 、 in Proc. European
Conference on Optical Communications (ECOC 2023)、Th.B.6.4、Glasgow、
Scotland、Oct. 2023.
【31】 Shusuke Narieda and Takeo Fujii 、 “Spreading Factor Allocation for
Extension of End Device Lifetime in LoRaWAN”、in Proc. IEEE WF-IoT 2023、
Oct. 2023.
【32】 Kaito Sugimura、Takashi Hikage、Hiroshi Masuda、Tatsuya Ishitake、Kun
Li 、 and Akiko Nagai 、 “Novel Vertically Exposure System Using Spatial
Synthetic Antennas to Investigate Thermo-Physiological and Cellular
Function Changes Induced by Millimeter-Wave Exposure” 、 in Proc. 2023
International Symposium on Antennas and Propagation (ISAP)、RS2.5、Kuala
Lumpur、Malaysia、Oct. 2023.
【33】 Kenta Miwa、Keigo Ando、 Giuseppe Thadeu Freitas de Abreu、and K.
Ishibashi、“Physical-Layer Authentication Over Spatially Correlated MIMO
Channels” 、 in Proc. 26th International Symposium on Wireless Personal
Multimedia Communications (WPMC 2023)、Tampa、FL、USA、pp. 83-88、
Nov. 2023.

- 44 -

【34】 Ryogo Oya、Shinichiro Kakuda、Takeo Fujii、Osamu Takyu、Mai Ohta、and
Koichi Adachi 、 “Packet-Level Index Modulation under Duty Cycle
Constraints”、in Proc. WPMC2023、Florida、USA、Nov. 2023.
【35】 Shugo Hirano、Hirofumi Nakajo、and Takeo Fujii、“User Pairing Method
using Radio Map for Spectrum Sharing between Non-Terrestrial Networks
and Terrestrial Networks”、in Proc. WPMC2023、Florida、USA、Nov. 2023.
【36】 Ryuji Miyamoto、Osamu Takyu、Hiroshi Fujiwara、Koichi Adachi、Mai Ohta、
and Takeo Fujii、“Transmission Control for Highly Efficiency Data Gatheringin Packet-Level Index Modulation”、in Proc. Int. Conf. on Emerging Technol.
for Commun. (ICETC'24)、Sapporo、Hokkaido、29. Nov. - 1. Dec. 2023.
【37】 Kanki Kitayama、Akira Saitou、Kazuhiko Honjo、and Ryo Ishikawa、“Multipoint OAM communication by beamsteering using loop antenna array
displaced from focus of paraboloid” 、 in Proc. 2023 Asia-Pacific Microwave
Conference、pp. 608-610、Taipei、Taiwan、Dec. 2023.
【38】 Kaito Uchida、Akira Saitou、Kazuhiko Honjo、and Ryo Ishikawa、“Extensionof transmission distance via dielectric-lens repeater for OAM multiplexing
communications”、in Proc. 2023 Asia-Pacific Microwave Conference、pp. 730-732、Taipei、Taiwan、Dec. 2023.
【39】 Tsuyoshi Yoshida、Akira Saito、Kazuhiko Honjo、and Ryo Ishikawa、“28GHz- band loop antenna arrays loaded with varactor diodes for OAM
beamsteering”、in Proc. 2023 Asia-Pacific Microwave Conference、pp. 748-750、Taipei、
Taiwan、Dec. 2023.
【40】 Taki Nagata、Jun Yamazaki、Kazuhiko Honjo、and Ryo Ishikawa、“Widedynamic-range high-efficiency GaN HEMT rectifier with adaptive gate bias
controlling rectifier”、in Proc. 2023 Asia-Pacific Microwave Conference、pp. 509-511、Taipei、Taiwan、Dec. 2023.
【41】 Taiki Kobayashi、Kazuhiko Honjo、and Ryo Ishikawa、“Fully integrated 28GHz-band GaN HEMT outphasing amplifier designed by considering
insertion loss at dual-power-level optimization” 、 in Proc. 2023 Asia-PacificMicrowave Conference、pp. 518-520、Taipei、Taiwan、Dec. 2023.
【42】 Shrinivas Petale、Shih-Chun Lin、Motoharu Matsuura、Hiroshi Hasegawa、Suresh Subramaniam、“PRODIGY: A progressive upgrade approach for elastic
optical networks” 、 in Proc. IEEE Global Communications Conference(GLOBECOM 2023)、Kuala Lumpur、Malaysia、Dec.、2023.
【43】 Tingli Wang、Jiantao Yuan、Xianfu Chen、Celimuge Wu、Yusheng Ji、and
Rui Yin、“Joint Partner Pairing and Resource Scheduling for D2D-U-based
Decentralized Mutual Learning” 、 in Proc. IEEE Global Communications
Conference (GLOBECOM 2023),、6 pages、Dec. 2023.

- 45 -

【44】 Liying Fu、Wenting Wei、Xueyu Lu、Celimuge Wu、Xiangwang Hou、Lei
Liu and Chen Chen、“Reinforcement Learning based Intelligent Routing for
Software Defined LEO Satellite Networks” 、 in Proc. IEEE Global
Communications Conference (GLOBECOM 2023),、6 pages、Dec. 2023.
【45】 Yalong Li、Celimuge Wu、Zhaoyang Du、Lei Zhong、and Tsutomu Yoshinaga、“Communication-efficient Federated Learning for UAV Networks with
Knowledge Distillation and Transfer Learning” 、 in Proc. IEEE Global
Communications Conference (GLOBECOM 2023),、6 pages、Dec. 2023.
【46】 S. Kamiwatari、M Ito、I. Kanno、K. Ando、and K. Ishibashi、“InterferenceAware Analog Beam Selection for Cell-Free Massive MIMO with Hybrid
Beamforming over Millimeter-Wave Channels” 、 IEEE 21st Consumer
Communications & Networking Conference (CCNC)、Las Vegas、NV、pp. 696701、Jan. 2024.
【47】 Shusuke Narieda and Takeo Fujii、“On Execution at End Devices for Energy
Detection Based Carrier Sense in LPWAN “、in Proc. CCNC2024、Jan. 2024.
【48】 Shusuke Narieda and Takeo Fujii、“Analyses of Hidden and Exposed Nodes
in LPWAN with Energy Detection Based Carrier Sense”、in Proc. CCNC2024、
Jan. 2024.
【49】 Hayato Mukasa、Koshiro Aruga、Takeo Fujii、and Koichi Adachi、“Indoor
Wireless Environment Visualization for Smart Factories”、in Proc. ICOIN
2024、Ho Chi Minh City、Vietnam、Jan. 2024.
【50】 Keisuke Kikuchi and Takeo Fujii 、 “A Study of Communication Quality
Estimation Methods for LTE Using Communication Indexes Considering
Time Variability”、in Proc. ICOIN 2024、Ho Chi Minh City、Vietnam、Jan.
2024.
【51】 Shusuke Narieda and Takeo Fujii、“Characteristics of LoRaWAN with Energy
Detection Based Carrier Sense”、in Proc. ICOIN 2024、Ho Chi Minh City、Vietnam、Jan. 2024.
【52】 George Karimata、Jin Nakazato、Gia Khanh Tran、Katsuya Suto、Manabu
Tsukada、and Hiroshi Esaki、“Multi-UAVs Strategies for Ad Hoc Networkwith Multi-Agent Reinforcement Learning”、in Proc. Int. Conf. Inf. Netw. 2024
(ICOIN 2024)、Jan. 2024、pp. 1-4.
【53】 Junichiro Yamada and Katsuya Suto、“[Poster] Deep Joint Source-Channel
Coding with Optimal Compression Rate for mmWave Mobile Image
Transmission”、IEEE Consumer Commun. & Netw. Conf. 2024 (CCNC 2024)、
Jan. 2024、pp. 1-2.
【54】 Masaaki Miura and Katsuya Suto、“[Poster] Performance Analysis for IRSAssisted SWIPT with Geometry-Based Phase Shift” 、 IEEE Consumer- 46 -

Commun. & Netw. Conf. 2024 (CCNC 2024)、Jan. 2024、pp. 1-2.
【55】 Koshiro Aruga and Takeo Fujii 、 “MAC Protocol Adaptation Method in
Coordination with Application”、in Proc. Int. Conf. Artificial Intelligence inInform. and Commun. (ICAAIC 2024)、Osaka、Japan、Feb. 2024
【56】 Shinsuke Bannai and Katsuya Suto、“Stereo-Aided Blockage Prediction formmWave V2X Communications”、in Proc. Int. Conf. on Computing、Netw. andCommun. (ICNC 2024)、Feb. 2024、pp. 1-5.
【57】 Hiroto Shida、Aoto Kaburaki、and Koichi Adachi、“Energy-Efficient Multihop LoRaWAN with Transmission and Synchronization Control”、in Proc. Int.
Conf. on Computing、Netw. and Commun. (ICNC 2024)、pp.1048-1053、Big
Island、Hawaii、USA、Feb. 19 - 22、2024.
【58】 Aoto Kaburaki、Koichi Adachi、Osamu Takyu、Mai Ohta、and Takeo Fujii、“LBT-based Resource Allocation Methods Utilizing Periodicity of Traffic in
LPWAN”、in Proc. Int. Conf. on Computing、Netw. and Commun. (ICNC 2024)、
pp.1059-1063、Big Island、Hawaii、USA、Feb. 19 - 22、2024.
【59】 Maki Arai、Kabuto Arai、and Koji Ishibashi、“Boolean Compressed Sensing
with Cluster Sparsity for Anomaly Detection in Large-ScaleWireless Sensor
Networks”、in Proc. ASPIRE Workshop 2024、Hiroshima、Mar. 2024.
【60】 Naoki Isono、Sota Uchimura、and Koji Ishibashi、“Secure Precoder Design
Against Both Eavesdropper and Malicious Users for Rate Splitting Multiple
Access”、in Proc. ASPIRE Workshop 2024、Hiroshima、Mar. 2024.
【61】 Kabuto Arai and Koji Ishibashi、“Channel Estimation for Millimeter-Wave
MIMO in the Presence of Array Model Errors” in Proc. ASPIRE Workshop
2024、Hiroshima、Mar. 2024.
【62】 Keiji Cruzado、Yojiro Mori、Shih-Chun Lin、Motoharu Matsuura、Seresh
Subramaniam 、 and Hiroshi Hasegawa 、 “Capacity-bound evaluation androuting and spectrum assignment for elastic optical path networks with
distance-adaptive modulation” 、 in Proc. 49th The Optical Fiber
Communication Conference and Exposition (OFC 2024)、W3C.6、San Diego、
USA、March 2024.
【63】 K. Murakami、S. Sugiura、H. Yamaji、M. Matsuura、T. Takagi、K. Mukasa、“Over 1-Watt analog RoF signal transmission using a 1-km hollow-core
photonic bandgap fiber”、in Proc. 49th The Optical Fiber Communication
Conference and Exposition (OFC 2024)、Th2A.15、San Diego、USA、March2024.
【64】 Shinsuke Bannai and Katsuya Suto 、 “[Poster] Blockage Prediction with
Pseudo-LiDAR Signature for mmWave V2I Communications、ASPIRE 2024
Green IoT workshop、Mar. 2024、pp. 1.

- 47 -

国際会議招待講演【1】 Motoharu Matsuura、“Power-over-fiber for remote antenna units in 5G/6G
networks”、in Proc. OptoElectronics and Communications Conference (OECC2023)、Shanghai、China、Jul. 2023.
【2】 Kun Li、“Method of Power Density and Temperature Elevation Analysis for
Skin Exposure to Electromagnetic Fields above 6 GHz” 、 The 31st
International Conference on Software、Telecommunications and Computer
Networks (SoftCOM 2023)、Split、Croatia、Sep. 2023. (Tutorials Invited Paper)【3】 Motoharu Matsuura、“High-power transmission technologies for radio-overfiber in beyond 5G networks”、in Proc. International Conference on Emerging
Technologies for Communications (ICETC 2023)、I1-4、Sapporo、Japan、Nov.
2023.
【4】 Kun Li and Walid El Hajj、“Intercomparison Studies on Spatially Averaged
Incident and Epithelial /Absorbed Power Densities Using Different Skin
Models”、IEEE ICES Workshop on Computational Bioelectromagnetics、Feb.
2024.
国内会議招待講演【1】 策力木格、“メタネットワーキング：多面的知識による情報密度の強化でシャノン限界を突破する” IEICE IN 研究会招待講演、2023 年 5 月【2】 石橋功至、“［招待講演］6G に向けた新たな研究動向”、 信学技報、vol. 123、no.
76、RCS2023-58、pp. 181-181、(2023.6) [招待講演]【3】 松浦基晴、“Beyond 5G に向けた大電力光ファイバ伝送・給電技術”、PST-net 講
演会、2024 年 2 月．
【4】 松浦基晴、“災害に強い無線通信ネットワークに向けた光ファイバ給電技術,”オ
プトメカトロニクス技術シンポジウム、2024 年 2 月．
【5】 李鯤、“IEEE/ICES TC95 委員会における 10-90 GHz 帯ばく露評価計算の比較,”
電気学会先進的な電磁界ばく露評価基盤技術動向調査専門委員会、2024 年 2 月．
解説・評論【1】 石川亮、“無線通信に用いられる送信用電力増幅器”、電子情報通信学会誌−知識の森−、vol.107，no.2、Feb. 2024.
【2】 Koji Ishibashi、“Toward Practical Cell-Free MIMO Network”、Beyond 5G
White Paper Supplementary Volume “Cell-Free / Distributed MIMO”、pp. 4852、Mar. 2024.

- 48 -

学会口頭発表【1】 杉村海渡、敦賀桜、日景隆、増田宏、石竹達也、Kun Li、永井亜希子、“ミリ波
局所ばく露が温熱生理や細胞機能にもたらす影響に関する調査を目的とした 60
GHz ばく露装置の特性解析”、信学技報、vol. 123、no. 10、EMCJ2023-2、pp.
5-8、2023 年 4 月【2】 山田翔大、藤井威生、“観測値と 3 次元地図を組みあわせた高度方向の無線環境把握”、信学技報、vol. 123、no. 19、SR2023-5、pp. 27-32、2023 年 5 月【3】 齋藤慶悟、藤井威生、石橋功至、柴田悠宇、土岐爽真、遠藤秀樹、“マルチアンテ
ナビームフォーミングを用いた LPWA コンセントレータ”、信学技報、vol. 123、no. 19、SR2023-6、pp. 33-40、2023 年 5 月【4】 山田準一郎、須藤克弥、“[ショートペーパー] 圧縮率可変な Deep Joint Source
Channel Coding”、信学技法、vol. 123、no. 19、SR2023-11、pp. 58-60、2023
年5月【5】 藤井和貴、須藤克弥、“[ショートペーパー] ヌル化を用いた情報信号のパス分離によるセキュアな SWIPT”、信学技法、vol. 123、no. 19、SR2023-12、pp. 6163、2023 年 5 月【6】 Weiyu Zhou、Koji Wada、and Kenichi Ohta、“A design method for miniaturized
multiplexer based on a novel substrate integrated defect ground structure”、
信学技報、vol. 123、no. 35、MW2023-10、pp. 6-11、2023 年 5 月【7】 上田康平、原郁紀、石橋功至、“低密度構造化 OFDM に基づいたグラントフリー
非直交多元接続のためのベイズ受信機設計”、信学技報、vol. 123、no. 76、
RCS2023-45、pp. 99-104、2023 年 6 月【8】 三輪健太、安藤研吾、アブレウ ジュゼッペ、石橋功至、“空間相関 MIMO 通信路におけるマハラノビス距離に基づく物理層認証”、信学技報、vol. 123、no. 76、
RCS2023-34、pp. 37-42、2023 年 6 月【9】 奥井滉史、安藤研吾、石橋功至、“有限フロントホール容量を考慮したスケーラ
ブルネットワーク全二重セルフリー大規模 MIMO システム”、信学技報、vol. 123、no. 76、RCS2023-33、pp. 31-36、2023 年 6 月【10】 杉村海渡、敦賀桜、日景隆、増田宏、石竹達也、Kun Li、永井亜希子、“ミリ波
局所ばく露による温熱生理および細胞機構への影響の調査を目的とした 60GHz
空間合成型ばく露装置の特性解析”、信学技報、vol. 123、no. 72、EMCJ202314、pp. 9-12、2023 年 6 月【11】 更屋貴大、蕪木碧仁、安達宏一、“LoRaWAN における ClassB モードを用いた端末クラスタリングの検討”、信学技報、vol. 123、no. 76、RCS2023-35、pp. 4348、2023 年 6 月【12】 蕪木碧仁、安達宏一,田久修，太田真衣，藤井威生、“キャリアセンスとトラフィックの周期性を活用した自律分散型リソース割当法の検討”、信学技報、vol. 123、no. 76、RCS2023-46、pp. 105-110、2023 年 6 月- 49 -

【13】 伊藤賢太、高橋拓海、五十嵐浩司、石橋功至、衣斐信介、“CFO 存在下におけるマルチユーザ MIMO のための双線形推論に基づくベイジアン受信機設計に関する一検討”、信学技報、vol. 123、no. 108、RCS2023-93、pp. 70-75、2023 年 7月【14】 成枝秀介、藤井威生、“分割区間での電力検出キャリアセンスに基づく干渉パケ
ット到来推定”、信学技報、vol. 123、no. 109、SR2023-28、pp. 15-18、2023 年
7月【15】 成枝秀介、藤井威生、“LPWA モジュール上に実装した電力検出の特性”、信学
技報、vol. 123、no. 109、SR2023-41、pp. 58-63、2023 年 7 月【16】 有賀高志郎、藤井威生、“[ショートペーパー] 無線 MAC プロトコルにおける学習を用いたクロスレイヤ適応の検討”、信学技報、vol. 123、no. 109、SR2023-40、pp. 55-57、2023 年 7 月【17】 武笠隼斗、藤井威生、“[ショートペーパー] 無線 LAN センシングデータを活用
した隠れ端末の検出”、信学技報、vol. 123、no. 109、SR2023-39、pp. 52-54、2023 年 7 月【18】 須藤克弥、坂内信允、佐藤光哉、藤井威生、“電波伝搬グラフ表現学習”、信学
技法、vol. 123、no. 109、SR2023-29、pp. 19-24、2023 年 7 月【19】 福山瑞稀、松浦基晴、高橋英憲、吉兼昇、釣谷剛宏、“マルチコア光ファイバを用いたリモート増幅型光ファイバ無線伝送における利得特性及び伝送特性評価”、
信学技報、vol. 123、no. 168、PN2023-18、pp. 11-14、2023 年 8 月【20】 村上夏尉、杉浦宗弥、松浦基晴、高木武史、武笠和則、“空孔コアファイバを用いた光ファイバ無線の伝送特性評価”、信学技報、vol. 123、no. 168、PN202319、pp. 15-18、2023 年 8 月【21】 落合匠郎、久野拓真、棟方隆司、森洋二郎、Shih-Chun Lin、松浦基晴、Suresh
Subramaniam、長谷川浩、“2.45Pbps スループットを実現する波長・空間ハイブリッド光クロスコネクトの提案と実証”、信学技報、vol. 123、no. 168、PN202330、pp. 73-77、2023 年 8 月【22】 竹本大志、波多野祐介、松浦基晴、“再構成可能な量子ドット半導体光増幅器を用いた全光論理回路”、信学技報、vol. 123、no. 168、PN2023-35、pp. 97-100、2023 年 8 月【23】 伊東哲幸、松浦基晴、“量子ドット半導体光増幅器内での周波数チャープを用いた光デジタル・アナログ変換による高分解能化”、信学技報、vol. 123、no. 168、PN2023-36、pp. 101-105、2023 年 8 月【24】 内田海斗、斉藤昭、石原克弥、本城和彦、石川亮、“誘電体レンズ中継によるループアンテナアレイ OAM 多重通信の通信距離拡張”、信学ソ大、B-1-127、2023
年9月【25】 吉田剛、石川亮、本城和彦、斉藤昭、“OAM ビームフォーミング用ダイオード
装荷 28 GHz 帯ループアンテナアレイの基礎検討”、信学ソ大、B-1-128、2023 年- 50 -

9月【26】 石川亮、“SSPS 送電部 DC-RF 変換用高効率・高利得マイクロ波増幅器”、信学ソ
大、BCI-1-7、2023 年 9 月【27】 小林大輝、本城和彦、石川亮、“28 GHz 帯 GaN HEMT アウトフェージング増幅
器 MMIC の損失考慮設計”、2023 年電子情報通信学会ソサイエティ、C-2-6、2023
年9月【28】 長田多喜、山崎純、本城和彦、石川亮、“ゲートバイアス制御用整流器による高効率 GaN HEMT 整流器の広ダイナミックレンジ化”、信学ソ大、C-2-13、2023 年
9月【29】 棚木拓海、安達宏一、“スマートファクトリにおける通信品質を考慮した移動経路最適化”、信学ソ大、B-5-64、2023 年 9 月【30】 蕪木碧仁、安達宏一、田久修、太田真衣、藤井威生、“複数送信周期環境における自律分散型リソース割当法の検討”、信学ソ大、B-5-76、2023 年 9 月【31】 久野拓真、落合匠郎、樋口怜治、佐竹風人、森洋二郎、Shih-Chun Lin、松浦基
晴、Suresh Subramaniam、長谷川浩、“4.71Pbps スループットを実現する空間・
波長ハイブリッド型光クロスコネクトのマルチバンド伝送実験”、信学ソ大、B12-8、2023 年 9 月【32】 岡本聡、植松芳彦、山中直明、松浦基晴、“スイッチド RoF によるスマートモバ
イルフロントホール構成法”、信学ソ大、B-12-14、2023 年 9 月【33】 矢口勇也、松浦基晴、Shih-Chun Lin、松浦基晴、Suresh Subramaniam、長谷川浩、“モバイル無線基地局における光ファイバ給電の応答特性評価”、信学ソ
大、B-12-15、2023 年 9 月【34】 杉浦宗弥、村上夏尉、松浦基晴、高木武史、武笠和則、“空孔コアファイバにおける非線形光学現象の観測,”信学ソ大、B-12-14、2023 年 9 月【35】 波多野佑介、竹本大志、松浦基晴、“量子ドット半導体光増幅器を用いた全光 OR
ゲートに関する研究,”信学ソ大、B-12-20、2023 年 9 月【36】 小川勇貴、石橋孝一郎，安達宏一、“カード型 EH Beat Sensor を用いた省エネ
照明制御システム”、信学ソ大、B-15-3、2023 年 9 月【37】 宮本隆司、田久修、藤原洋志、安達宏一、太田真衣、藤井威生、“パケット型イ
ンデックス変調におけるエリア推定を活用した環境認識型集約の一検討”、信学
ソ大、B-17-6、2023 年 9 月【38】 成枝秀介、藤井威生、“電力検出キャリアセンスを用いた Sub-GHz 帯 LPWAN
での雑音電力推定方式とその特性”、信学ソ大、B-17-10、2023 年 9 月【39】 有賀高志郎、藤井威生、“[ポスター講演]アプリケーション層を考慮した無線
MAC プロトコル適応法”、RISING、2023 年 10 月
【40】 今野耕嗣、藤井威生、“[ポスター講演]転移モデルを用いた連合学習による無線
LAN スループット予測法の検討”、RISING、2023 年 10 月
【41】 武笠隼斗、有賀高志郎、藤井威生、“[ポスター講演]スマートファクトリ実現の- 51 -

ための屋内無線環境データベース化技術の検討”、RISING、2023 年 10 月
【42】 伊藤利、田久修、太田真衣、藤井威生、安達宏一、“[ポスター講演]無線物理量
変換一括収集法における周波数オフセットに起因するスペクトル揺らぎを利用した信号衝突センサ数の識別”、RISING、2023 年 10 月
【43】 三浦優明、須藤克弥、“[ポスター講演] 空間相関を有するライスフェージング
チャネルにおける IRS-Assisted SWIPT の性能解析”、MIKA2023、2023 年 10月【44】 坂内信允、須藤克弥、“[ポスター講演] ミリ波 V2X 通信におけるステレオカメ
ラを用いた遮蔽予測”、MIKA2023、2023 年 10 月
【45】 高木志門、坂内信允、須藤克弥、“[ポスター講演] 電波伝搬グラフ表現学習におけるフレネルゾーンを用いたパス構築”、MIKA2023、2023 年 10 月
【46】 蕪木碧仁、安達宏一、田久修、太田真衣、藤井威生、“隠れ端末問題を考慮した
自律分散型リソース割当て法”、信学技報、vol. 123、no. 224、RCS2023-131、
pp. 19-24、2023 年 10 月
【47】 志田洋斗、蕪木碧仁、安達宏一、“LoRaWAN マルチホップ通信における送信制
御および同期制御を用いた省電力化に関する検討”、信学技報、vol. 123、no. 224、
RCS2023-130、pp. 13-18、2023 年 10 月
【48】 齊藤稜弥、安達宏一、藤井威生、熊田遼汰、“LoRa 信号における分数拡散率の検討および復調方法の提案”、信学技報、vol. 123、no. 224、RCS2023-129、pp.
7-12、2023 年 10 月
【49】 棚木拓海、安達宏一、“スマートファクトリにおける通信品質向上のための衝突回避を考慮した柔軟な経路計画”、信学技報、vol. 123、no. 224、RCS2023-128、
pp. 1-6、2023 年 10 月
【50】 菊地啓介、藤井威生、“時間変動性を考慮した通信指標を用いた通信品質推定手法の検討”、信学技報、vol. 123、no. 249、SR2023-54、pp. 42-47、2023 年 11月【51】 田久修、蕪木碧仁、小池悠大、大屋諒悟、志田洋斗、安達宏一、藤井威生、“[技術展示] 無線・センサ環境適応型 LPWA の実機検証”、信学技報、vol. 123、no.
249、SR2023-64、pp. 83-89、2023 年 11 月
【52】 成枝秀介、藤井威生、“[ショートペーパー] 電力検出キャリアセンスを用いた
LPWAN における信号検出レベルとキャプチャ効果の影響”、信学技報、vol. 123、no. 249、SR2023-66、pp. 92-95、2023 年 11 月
【53】 柳沼浩大、田久修、藤井威生、“[ショートペーパー] 無線環境におけるスニファ
によるパケット収集率の実機検証”、信学技報、vol. 123、no. 249、SR2023-67、
pp. 96-98、2023 年 11 月
【54】 伊藤賢太、高橋拓海、五十嵐浩司、石橋功至、衣斐信介、“周波数選択性環境における CFO を考慮したマルチユーザ MIMO のための双線形推論に基づくベイ
ジアン受信機設計”、情報理論とその応用シンポジウム 2023、pp. 158-163、2023- 52 -

年 11 月【55】 荒井甲、石橋功至、“ミリ波 MIMO 通信路推定のための自己キャリブレーショ
ン法”、情報理論とその応用シンポジウム 2023、pp. 71-76、2023 年 11 月
【56】 上田康平、原郁紀、石橋功至、“低密度構造化 OFDM によるグラントフリー非直交多元接続のための出生死滅ドリフト過程に基づく近似メッセージ伝播法”、
情報理論とその応用シンポジウム 2023、pp. 152-157、2023 年 11 月
【57】 奥井滉史、安藤研吾、石橋功至、“クラスタリング・ビームフォーミング同時設計に基づくスケーラブルネットワーク全二重通信セルフリー大規模 MIMO”、情報理論とその応用シンポジウム 2023、pp. 232-237、2023 年 11 月
【58】 照井貫太、荒井甲、石橋功至、“圧縮センシングに基づくミリ波通信路推定のためのトレーニングビームフォーミング設計に関する一検討”、情報理論とその応
用シンポジウム 2023、pp. 61-66、2023 年 11 月
【59】 吉田拓実、石橋功至、飯盛寛貴、クライネパウロ、マロムソキサボルチ、“能動学習に基づくミリ波ビーム追従法に関する一検討”、情報理論とその応用シンポ
ジウム 2023、pp. 49-54、2023 年 11 月
【60】 長田多喜、山崎純、本城和彦、石川亮、“ゲートバイアス制御用ダイオード整流器を用いた広ダイナミックレンジ高効率 GaN HEMT 整流器”、信学技報、vol. 123、no. 268、MW2023-139、pp. 71-75、2023 年 11 月
【61】 北山観行、斉藤昭、本城和彦、石川亮、“パラボロイドとループアンテナアレイを用いたビームステアリングによる一対多 OAM 多重通信の検討”、信学技報、vol. 123、no. 268、MW2023-136、pp. 54-58、2023 年 11 月
【62】 内田海斗、斉藤昭、本城和彦、石川亮、“誘電体レンズ中継器を用いた OAM 多重通信の通信距離拡張”、信学技報、vol. 123、no. 268、MW2023-135、pp. 49-53、2023 年 11 月
【63】 松浦基晴、“空中基地局のための光ファイバ給電ドローンに関する検討”、信学
技報、vol. 123、no. 267、PN2023-42、pp. 33-37、2023 年 11 月
【64】 須藤克弥、松村一冴、山田準一郎、“[ショートペーパー] 情報源・通信路深層結
合符号におけるモデル伝送に関する一考察”、信学技法、vol. 123、no. 249、SR2023-58、pp. 61-63、2023 年 11 月
【65】 付昱洋、須藤克弥、“[ショートペーパー] Deep Joint Source Channel Coding における視覚的秘匿性を向上するためのモデル共有・学習方式”、信学技法、vol. 123、no. 249、SR2023-59、pp. 64-66、2023 年 11 月
【66】 坂内信允、須藤克弥、“[ショートペーパー] ミリ波 V2X 通信におけるステレオ
ビジョンによる高速な遮蔽予測”、信学技法、vol. 123、no. 249、SR2023-68、
pp. 99-101、2023 年 11 月
【67】 吉田剛、斉藤昭、本城和彦、石川亮、“OAM ビームフォーミング用スイッチン
グダイオード装荷 28 GHz 帯ループアンテナアレイ”、信学技報、vol. 123、no. 319、MW2023-152、pp. 20-23、2023 年 12 月

- 53 -

【68】 更屋貴大、蕪木碧仁、安達宏一、田久修、藤井威生、太田真衣、“受信信号から推定可能な端末相互関係に基づくクラスタリングの検討”、信学技報、vol. 123、no. 308、RCS2023-191、pp. 70-75、2023 年 12 月
【69】 平野周吾、中條宏郁、藤井威生、“電波マップを用いた非地上系ネットワークと地上系ネットワークの周波数共用のための端末スケジューリング手法”、信学技報、vol. 123、no. 308、RCS2023-201、pp. 123-128、2023 年 12 月
【70】 中田祥太郎、和田光司、“遮断周波数を基準にしたチップ素子及び導体パター
ンのばらつきに強い高周波ダイプレクサの設計に関する一検討”、信学技報、vol.
123、no. 361、CAS2023-95、pp. 60-65、2024 年 1 月【71】 坂本陽向、安達宏一，”チャープインデックス空間分割に基づく多元接続方式”、
信学技報、vol. 123、no. 340、RCS2023-220、pp. 76-81、2024 年 1 月【72】 内村颯汰、アブレウ ジュゼッペ、石橋功至、“［奨励講演］ミリ波 OFDM シス
テムのための総和容量向上を可能にするアウテージ確率最小化ビームフォーミ
ング”、 信学技報、vol. 123、no. 340、RCS2023-245、pp. 217-222、2024 年 1
月【73】 川島朋幸、隈元大輔、成枝秀介、藤井威生、成瀬央、“ピーク検出に基づくキャ
リアセンスを用いた LPWAN のカバレッジ確率の下限値”、信学技報、vol. 123、no. 369、SR2023-86、pp. 78-85、2024 年 1 月【74】 岩崎健斗、本城和彦、石川亮、“ドレインバイアス調整による分布型増幅器の効率性能改善に関する一検討”、信学技報、vol. 123、no. 396、MW2023-174、pp. 14、2024 年 2 月【75】 小畑貴聖、田久修、稲毛契、藤井威生、“[ショートペーパー] 衛星コンステレー
ションを活用した地上の電波環境把握法の一検討”、信学技報、vol. 123、no. 435、
SR2023-108、pp. 66-68、2024 年 3 月【76】 福山瑞稀、松浦基晴、高橋英憲、吉兼昇、釣谷剛宏、“マルチコア光ファイバを用いたリモート光増幅型光給電アンテナ”、信学技報、vol. 123、no. 442、PN202379、pp. 53-57、2024 年 3 月【77】 伊東哲幸、松浦基晴、“量子ドット半導体光増幅器内での周波数チャープを用いた 4bit40Gbps 光デジタル・アナログ変換”、信学技報、vol. 123、no. 442、PN202381、pp. 64-68、2024 年 3 月【78】 竹本大志、波多野佑介、松浦基晴、“半導体光増幅器を用いた再構成可能な全光論理回路”、電子情報通信学会フォトニックネットワーク研究会 学生ワークショ
ップ、pn2024-stws-3、2024 年 3 月【79】 村上夏尉、杉浦宗弥、松浦基晴、高木武史、武笠和則、“[依頼講演] 空孔コアフ
ァイバを使用したマルチチャネル大電力 A-RoF 伝送”、信学技報、vol. 123、no.
442、PN2023-72、pp. 15-20、2024 年 3 月【80】 久野拓真、落合匠郎、樋口怜治、佐竹風人、森洋二郎、Shih-Chun Lin、松浦基
晴、Suresh Subramaniam、長谷川浩、“[依頼講演]空間分割多重及びマルチバン- 54 -

ド光ネットワーク実現に向けた空間・波長ハイブリッド光ノード構成,”信学技報、vol. 123、no. 442、PN2023-73、pp. 21-26、2024 年 3 月【81】 松浦弘樹、和田光司、“2 出力発振器を使用した簡易な回路による複素反射係数測定法”、第 38 回エレクトロニクス実装学会春季講演大会論文集、14B2-1、2024
年3月【82】 谷井宏成、和田光司、大野貴信、小澤勇太、“フレキシブル基板を用いたマイク
ロストリップ線路 BPF における基板の湾曲効果”、第 38 回エレクトロニクス実装学会春季講演大会論文集、14P1-2、2024 年 3 月【83】 有本直矢、和田光司、“恒温槽を用いた恒温恒湿試験によるマイクロストリッ
プ線路及びチップ部品で構成した回路の特性測定に関する一検討”、第 38 回エ
レクトロニクス実装学会春季講演大会論文集、14P1-3、2024 年 3 月【84】 大坂 隼輝、本田和博、李鯤、“3 軸偏波制御アンテナの位相シフト最適化”、信学総大、B-4-16、2024 年 3 月【85】 木本圭拓、本田和博、李鯤、“上り回線の MIMO 伝送容量を用いた局所 SAR の推定”、信学総大、B-1C-07、2024 年 3 月【86】 小林大輝、本城和彦、石川亮、“挿入損失を考慮した 2 電力レベル設計による 28
GHz 帯 GaN HEMT アウトフェージング増幅器 MMIC の試作”、信学技報、vol.
123、no. 396、MW2023-189、pp. 74-77、2024 年 3 月【87】 成枝秀介、藤井威生、“LPWA モジュールに実装した電力検出キャリアセンスの処理時間特性”、信学技報、vol. 123、no. 435、SR2023-109、pp. 69-72、2024
年3月【88】 荒井甲、石橋功至、“アレー誤差環境下におけるミリ波通信路推定”、信学総大、
B-5A-63、2024 年 3 月【89】 Faurdoir Ndimumahoro and Koji Ishibashi、“Distortion-Aware Clustering for
Cell-Free Massive MIMO Under Backhaul Capacity Limitation”、信学総大、
B-5A-73、2024 年 3 月【90】 棚木拓海、安達宏一、“製造工場における自動搬送車の通信品質を考慮した経路
走行実験”、信学総大、B-5A-75、2024 年 3 月【91】 吉川紘大朗、棚木拓海、安達宏一、“移動先の統計的チャネル状況を考慮した無線資源割り当て手法の検討”、信学総大、B-5A-76、2024 年 3 月【92】 大屋諒悟、藤井威生、田久修、太田真衣、安達宏一、“干渉低減可能な帯域幅可変 LoRa の検討”、信学総大、B-5A-105、2024 年 3 月【93】 吉田拓実、高橋拓海，石橋功至、“局所的 LMMSE 出力の合成に基づく低演算
量な OTFS 信号検出手法に関する一検討”、信学総大、B-5A-49、2024 年 3 月【94】 國井瑠偉、石橋功至、土岐爽真、柴田悠宇、“暗号化後圧縮のための密度発展法に基づく Polar 符号設計”、信学総大、B-5B-11、2024 年 3 月【95】 齊藤稜弥、安達 宏一、“分数拡散率を用いた LoRa 信号における復調処理の検討”、信学総大、B-5B-17、2024 年 3 月- 55 -

【96】 志田洋斗、蕪木碧仁、安達宏一、“LoRaWAN マルチホップ通信における送信制
御および同期制御を用いた省電力化の実機評価”、信学総大、B-5B-18、2024 年
3月【97】 蕪木碧仁、安達宏一、田久修、太田真衣、藤井威生、“動的ネットワークトポロ
ジー環境におけるリソース割当法の評価”、信学総大、B-5B-19、2024 年 3 月【98】 磯野直樹、内村颯汰、石橋功至、“レート分割多元接続におけるシステム内外盗聴者を考慮した 秘匿プリコーダ設計に関する一検討”、信学総大、B-5B-30、2024
年3月【99】 小川勇貴、石橋孝一郎、安達宏一、“センサノードと通信経路の多重化によるBeat Sensor を用いた省エネ照明システムの動作安定化”、信学総大、B-5B-38、
2024 年 3 月【100】
新井真稀、荒井甲、石橋功至、“大規模センサネットワークにおける異常検出のための 局所スパース性を用いたブーリアン圧縮センシング”、信学総大、
B-5B-42、2024 年 3 月【101】
岡本聡、村上隆太、西村浩志郎、山中直明、松浦基晴、“Linux PC による WiFi AP を利用したアナログ RoF 検証環境の構築”、信学総大、B-12-16、2024 年 3 月【102】
山田準一郎、須藤克弥、“UAV ミリ波通信における時間選択性フェージ
ングを考慮した情報源・通信路深層結合符号に関する一考察”、信学総大、B-1707、2024 年 3 月【103】
成枝秀介、藤井威生、“Sub-GHz 帯 LPWAN におけるエンドデバイス送信電力のセルフチューニング”、信学総大、B-17-09、2024 年 3 月【104】
宮本隆司、田久修、藤原洋志、安達宏一、太田真衣、藤井威生、“パケッ
ト型インデックス変調における他システム干渉を考慮した最適マッピング設計”、
信学総大、B-17-12、2024 年 3 月【105】
坂内信允、須藤克弥、“ミリ波 V2I 通信における擬似 LiDAR を利用した遮蔽予測モデル”、信学総大、B-17-19、2024 年 3 月【106】
湯澤昂平、藤井威生、“工場環境における三点測位用ビーコン選択方法の検討”、信学総大、B-17-33、2024 年 3 月
シンポジウム講演【1】 石川亮、“準ミリ波帯動作アウトフェージング増幅器の研究開発”、Microwave
Workshops & Exhibition (MWE 2023)、TH6A-1、2023 年 11 月
【2】 稲田仁美、伊地智幸一、北畠秀俊、柳幸喜、鹿志村修、藤野義之、三谷友彦、小嶋浩嗣、栗田怜、石川亮、石村康生、熊本篤志、宮崎康行、阿部琢美、田中孝治、“超長距離無線送電のための宇宙実験に関するミッション検討”、第 9 回宇宙太陽発電(SSPS)シンポジウム、2023 年 12 月

- 56 -

その他の講演【1】 石橋功至、“Beyond 5G/6G に向けたミリ波通信設計”、KKE 無線通信セミナー、
2023 年 7 月【1】 和田光司、“広帯域フィルタとその分波器への応用”、MWE2023 ワークショップ
プ ロ グ ラ ム 広 帯 域 マ イ ク ロ 波 フ ィ ル タ の 設 計 入 門 基 礎 講 座 MWE2023
WE6B-1、2023 年 11 月 29 日
【2】 李鯤、“電波ばく露評価方法に関する研究”、IEICE 東京支部学生会講演会，2023
年 12 月 2 日【3】 Katsuya Suto 、 “Deep Learning and Its Applications to Radio Map
Construction (Keynote)”、The 5th ASEAN – UEC Workshop on Informatics
and Engineering、2023 年 9 月
受賞【1】 Exemplary Editor of the IEEE Transactions on Green Communications &Networking、IEEE Communications Society、May 2023.
【2】 2023 年 5 月 26 日 内村颯汰 2022 年度 IEICE 無線通信システム（RCS）研究
会活動奨励賞【3】 2023 年 6 月 16 日 奥井滉史 2023 年度 IEICE 無線通信システム（RCS）研究
会「初めての研究会」優秀発表賞【4】 2023 年 9 月 5 日 内村颯汰 情報理論とその応用サブソサイエティ若手研究者論文賞【5】 2023 年 9 月 13 日 石橋功至 電子情報通信学会通信ソサイエティ活動功労賞【6】 2023 年 9 月 13 日 石橋功至 電子情報通信学会基礎・境界ソサイエティ 編集活動感謝状【7】 2023 年度 PN 研学生奨励賞(杉浦宗弥、村上夏尉、松浦基晴、高木武史、武笠和則、“空孔コアファイバにおける非線形光学現象の観測、“信学ソ大、B-12-14、2023 年.)【8】 2023 年度 PN 研学生奨励賞(久野拓真、落合匠郎、樋口怜治、佐竹風人、森洋
二郎、Shih-Chun Lin、松浦基晴、Suresh Subramaniam、長谷川浩、“4.71Pbps
スループットを実現する空間・波長ハイブリッド型光クロスコネクトのマルチバ
ンド伝送実験、“信学ソ大、B-12-8、2023 年)【9】 2023 年 9 月 26 日 石橋功至 KDDI Foundation Award 2023 業績賞【10】 2023 年 10 月 10 日 奥井滉史 IEEE VTS Tokyo/Japan Chapter 2023 Young
Researcher’s Encouragement Award【11】 2023 年 10 月 10 日 荒井甲 IEEE VTS Tokyo/Japan Chapter 2023 Student
Paper Award- 57 -

【12】 2023 年 11 月 7 日 石橋功至 電子情報通信学会 信号処理研究専門委員会 信号処理特別功労賞【13】 2023 年 11 月 21 日 三輪健太 WPMC2023 Student Travel Grant【14】 2023 年 11 月 21 日 三輪健太，安藤研吾，アブレウ・ジュゼッペ，石橋功至
WPMC2023 Best Paper Award【15】 成島章太 2023 年度回路とシステム研究会学生優秀賞 ，2024 年 1 月（和田研
学生・博士前期課程学生）【16】 Akihiko Narushima、IEEE CAS Society Japan Joint Chapter Best Student
Award，2024 年 1 月（和田研・博士前期課程学生）【17】 2024 年 8 月 棚木拓海 IEEE APWCS 2024 IEEE VTS Japan/Tokyo Chapter
Young Researcher’s Encouragement Award【18】 2024 年 1 月 坂本陽向 電子情報通信学会無線通信システム研究専門委員会「初年度発表者コンペティション」優秀発表賞【19】 2024 年 3 月 5 日 蕪木碧仁 電子情報通信学会 学術奨励賞【20】 2024 年 2 月 13 日 上田康平 令和 5 年度 修士論文発表会 優秀発表賞【21】 2024 年 2 月 19 日 見戸悠弥 令和 5 年度 卒業研究発表会 優秀発表賞【22】 2024 年 2 月 19 日 神崎涼司 令和 5 年度 卒業研究発表会 優秀発表賞【23】 2024 年 3 月 21 日 内村颯汰 第 39 回電気通信普及財団賞テレコムシステム技
術学生賞【24】 2024 年 3 月 25 日 上田康平 令和 5 年度 目黒会賞
【25】 2024 年 3 月 25 日 三輪健太 令和 5 年度 学生表彰
【26】 2024 年 3 月 25 日 奥井滉史 令和 5 年度 学生表彰
【27】 2024 年 3 月 25 日 内村颯汰 令和 5 年度 学生表彰
【28】 2024 年 3 月 25 日 荒井甲 令和 5 年度 学生表彰
【29】 小林大輝、2023 年度 電子情報通信学会 マイクロ波研究会 学生研究優秀発表賞【30】 2023 年度 PN 若手研究賞(村上夏尉、杉浦宗弥、松浦基晴、高木武史、武笠和則、“空孔コアファイバを使用したマルチチャネル大電力 A-RoF 伝送、“電子情報通信学会フォトニックネットワーク研究会、PN2023-72、2023 年.)【31】 谷井竜義，令和 5 年度卒業論文優秀発表賞，2024 年 3 月（和田研・学域生）【32】 根本重法，令和 5 年度卒業論文優秀発表賞，2024 年 3 月（和田研・学域生）
特許【1】 JP Patent 特願 2023-171051、通信システム、コンセントレータおよび通信方法、齋藤慶悟、藤井威生、石橋功至、柴田悠宇、遠藤秀樹、土岐爽真、2023 年
10 月 2 日【2】 吉田剛、北山観行、斉藤昭、本城和彦、石川亮、“ループアンテナ送受信システム
及びループアンテナ装置”、日本国、特願 2023-192000、2023 年 11 月 10 日

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【3】 高山洋一郎、本城和彦、石川亮、“マルチバンド増幅器およびデュアルバンド増幅器”、韓国、登録番号：10-2602394、2023 年 11 月 10 日
【4】 松浦基晴、“アンテナ装置および通信システム”、日本国、特願 2023-215953、2023 年 12 月 21 日
【5】 K. Arai 、 K. Ishibashi 、 H. Iimori 、 P. Klaine and S. Malomsoky 、 No.
PCT/EP2024/051728、Jan. 25、2024.
【6】 和田光司、小野哲、佐川守一、牧本三夫、「チップレス・タグ及びそのタグ情報
読み取り回路並びにチップレス・タグシステム」、特許第 7433630 号、 2024 年
2月9日【7】 藤井威生、稲毛契、中野隼輔、“無線通信信号検出装置および無線通信信号検出方法”、特許第 7446604 号、2024 年 3 月 1 日【8】 吉川紘大朗、安達宏一、「基地局、通信方法及び通信プログラム」、日本国、特願
2024-052732、2024 年 3 月 28 日
【9】 齊藤稜弥、安達宏一、藤井威生、「復調器、復調方法及び復調プログラム」、日本
国、特願 2024-053888、2024 年 3 月 28 日
広報・報道発表【1】 【ニュースリリース】世界初！Beyond 5G/6G に向けて、ミリ波帯での多数同時接続と超低遅延の同時実現に成功、電通大ニュースリリース、2023 年 5 月 24 日
【2】 世界初！Beyond 5G/6G に向けて、ミリ波帯での多数同時接続と超低遅延の同時実現に成功、ZDNet Japan、2023 年 5 月 25 日
【3】 世界初！Beyond 5G/6G に向けて、ミリ波帯での多数同時接続と超低遅延の同時実現に成功、時事ドットコム、2023 年 5 月 25 日
【4】 構造計画研究所と電気通信大学、ミリ波帯での多数同時接続と超低遅延の同時実現に成功、IoT News、2023 年 5 月 25 日
【5】 構造計画研究所と電通大がミリ波帯の新通信技術を実証、ロボット制御に活用、
日経クロステック、2023 年 6 月 7 日【6】 構造計画研究所、ミリ波帯の新通信技術 ロボ制御に、日経テックフォーサイト、
2023 年 6 月 7 日【7】 RFID から６G の夢の通信技術へ バックスキャッタ通信が IoT を変える、月刊
テレコミュニケーション、2023 年 10 月 25 日

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