Advanced Wireless & Communication
Research Center

Message from the Director, Prof. Takeo Fujii
Advanced Wireless Communication Research Center (AWCC) of the University of ElectroCommunications (UEC) was established in 2005 and the name was changed to “Advanced Wireless &Communication Research Center” in 2015. For the years, 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 outcomes tothe 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 usageof frequency spectra called multi-band multi-access, which requires innovation in RF hardware toachieve higher-accuracy signal transmission with flexibility. Also, wireless power transfer is anotherhot 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 andcontribute much in research and education of “wireless” and “communications”. We hope your 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 amember of IEEE and a fellow of IEICE.

【Full-time Prof. Yasushi Yamao】
Dr. Yasushi Yamao received his B.S., M.S., and Ph.D. degrees inelectronics engineering from Kyoto University, Kyoto, Japan, in 1977,
1979, and 1998, respectively. In 1979, he joined the Nippon Telegraphand Telephone Corporation (NTT) Laboratories, Japan, where his major
activities included leading research on GMSK modulator /demodulator
and GaAs RF ICs for digital mobile communications, and developmentof PDC digital cellular handheld phones. In 1993, he moved to NTT
DoCoMo Inc. and directed standardization of high-speed paging system (FLEX-TD) anddevelopment of 3G radio network system. He also joined European IST research programs for
IP-based 4th generation mobile communication. In 2005, he moved to the University of ElectroCommunications as a professor of the Advanced Wireless Communication Research Center(AWCC). Prof. Yamao is a Fellow of the IEICE and member of the IEEE and IPSJ. He served as
the Vice President of IEICE Communications Society (2003-2004), the Chairman of IEICE
Technical Group on Radio Communication Systems (2006-2008), the Chief Editor of IEICE
Communication Magazine (2008-2010), a Director of the IEICE (2016-2017) and the Vice
Chairman of IEEE VTS Japan chapter (2009-2015). Now he is the Chairman of IEEE VTSTokyo/Japan chapter-3-

【Full-time Associate 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 80 articles to international journals and conference proceedings. His
current research interests are signal processing, cooperative communications, RF energy
harvesting, rateless coding, and information theory. He is a member of IEEE and IEICE.

【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. From2007 to 2010, he was a Japan Society for the Promotion of Science (JSPS)
research fellow. From May 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. His
research interests include cooperative communications and energy
efficient communication technologies. He was the visiting researcher at
City University of Hong Kong in April 2009 and the visiting research fellow
at University of Kent from June to Aug 2009.
Dr. Adachi served as General Co-chair of the 10th and 11th IEEE Vehicular Technology Society
Asia Pacific Wireless Communications Symposium (APWCS) and Track Co-chair of Transmission
Technologies and Communication Theory of the 78th and 80th IEEE Vehicular Technology
Conference in 2013 and 2014, respectively. He is an Associate Editor of IET TRANSACTION ON
COMMUNICATIONS since 2015 and IEEE WIRELESS COMMUNICATIONS LETTERS since2016. He was recognized as the Exemplary Reviewer from IEEE COMMUNICATIONSLETTERS in 2012 and IEEE WIRELESS COMMUNICATIONS LETTERS in 2012, 2013, 2014,
and 2015. He was awarded excellent editor award from IEEE ComSoc MMTC in 2013.

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【Concurrent Prof. Koichiro Ishibashi】
Koichiro Ishibashi has been a professor of The University of ElectroCommunications, Tokyo, Japan since 2011. He received PH. D degreefrom Tokyo Institute of Technology in 1985. He joined Central ResearchLaboratory, Hitachi Ltd. in 1985, where he had investigated low power
technologies for Super H microprocessors and high density SRAMs.
From 2004 to 2011, he was in Renesas Electronics where he developed
low power IPs mainly for mobile phone SOCs as a department manager.
He has presented more than 110 academic papers at international conferences including
ISSCC, IEDM invited papers, and IEEE Journals. He was awarded R&D 100 for thedevelopment of SH4 Series Microprocessor in 1999. He is a member of IEICE and a Fellow ofIEEE.
His current interests include design technology of low power LSI, and IoT applications using
the low power LSIs. They include low power design technology using SOI devices and energy
harvesting sensor networks.

【Concurrent Prof. Takayuki Inaba】
Takayuki Inaba received a B.S. degree from the Department of Physics,
Tokyo Institute of Technology, in 1981, completed the M.E. program inphysics in 1983. He received the Ph.D. degree in engineering from Tokyo
Institute of Technology in 2001. Since April 2008, he has been with the
University of Electro-Communications, where he is a Professor at the
Department of Mechanical and Intelligent Systems Engineering,
Graduate School of Informatics and Engineering. He has been engaged inresearch and development of radar signal processing, and adaptive array signal processing, andautomotive radar systems. He is a senior member of IEEE. He is a recipient of theTelecommunications Advancement Foundation Award (32th), IEEJ Distinguished Paper Award(72th), 2014 IEEE AES Japan-chapter Best Paper Award, IEICE Communications Society
Distinguished Contributions Award 2009, 2006 IEEE AES Japan-chapter Best Paper Award, and
IEICE Communications Society Excellent Paper Award 2006.

-5-.

【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 ofCommunication Engineering and Informatics, University of Electro-

Communications. 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 Associate 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.

【Visiting Professors】
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
【Cooperative Professors】
Prof. Nobuo Nakajima, Ph.D.
Prof. Haruhisa Ichikawa, Ph.D.
Prof. Kazuo Ohta, Ph.D.
Prof. Sadao Obana, Ph.D.
Prof. Toshihiko Kato, Ph.D.
Prof. Naoto Kishi, Ph.D.
Prof. Tetsuro Kirimoto, Ph.D.
Prof. Kazuo Sakiyama, Ph.D.
Prof. Fengchao Xiao, Ph.D.

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Prof. Xi Zhang, Ph.D.
Prof. Cong-Kha Pham, Ph.D.
Associate Prof. Manabu Akita, Ph.D.
Associate Prof. Yoshiaki Ando, Ph.D.
Associate Prof. Hiroyuki Kasai, Ph.D.
Associate Prof. Toshiharu Kojima, Ph.D.
Associate Prof. Hisa-Aki Tanaka, Ph.D.
Associate Prof. Kazuki Nishi, Ph.D.
Associate Prof. Wu Celimuge, Ph.D.
Assistant Prof. Satoshi Ono, Ph.D.
Assitant Prof. Katsuya Suto, Ph.D.
【Cooperative Professors from Industry】
Prof. Kunio Uchiyama (Hitachi Ltd.)
Prof. Yukihiko Okumura (NTT Docomo R&D)
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. Eisuke Fukuda (Fujitsu Laboratory Ltd.)
Prof. Yukitsuna Furuya (WiTLa)
Prof. Kenji Yoshida (GM Holdings 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,
secure and smart life for individuals and community. Various types of machine tomachine communication such as sensors, IoT devices and vehicular communications will
spread in the society taking little notice but support safety and secureness of society, as
well as creating more comfortable and smarter life. The goal is to develop suchtechnologies.

2.1.2 Research Staffs and Their Specialties
Prof. Yasushi Yamao（Head of Division, ITS, RF-ID, Radar)Prof. Takeo Fujii（ITS, Radio Environment Analysis (REA), DPRN, Wireless security）
Prof. Takayuki Inaba（ITS, Rader）
Associate Prof. Koichi Adachi (Drone)

2.1.3 Major Research Outcomes in 2019(A) Intelligent Transport System (ITS)
Advance technologies for Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I)
communications towards automated driving are studied. Since Vehicular communications
are conducted in fully distributed environments, wireless communication techniques forsuch environments are pursued. This work was supported by the Ministry of Internal
Affairs and Communications (MIC) of Japan under the Strategic Innovation Promotion(SIP) program during physical years 2014 to 2016, MIC-1, "Development of V2V and V2I
Communication Technologies necessary for Automated Driving Systems".
On the other hand, in order to realize fully automated driving, it is not enough bystudying only vehicular communication issues, but necessary to discuss and collaborate
with the researchers who study automated vehicle control and stand-alone sensors on thevehicles. Therefore, we established a project with related members to such subjects andcollaborate on the Grants-in-Aid for Scientific Basic Research A, "Basic Research for
Integrated Automated Driving System combining Stand-Alone Sensors and Cooperation by
vehicle communications."[V2V Packet Delivery Ratio Estimation based on Spectrum Database considering Packet Collisionby using Positions and Density of Vehicles] (Fujii Lab.)
V2V communication is expected as one of the technologies to realize connected andautomated driving. However, it is difficult to know the radio environment accurately in V2V
communication and the method for avoiding packet collision and estimating radio
environments is required. The measurement-based spectrum database (MSD) is one of themethods to estimate radio environments. The conventional method using the MSD canestimate radio environment with high accuracy by creating packet delivery ratio (PDR) maps.
However, in that method, the accuracy of PDR maps is expected to be deteriorated
significantly if the vehicle density changes between creating and using the maps. This paper
proposes the method for correcting PDR maps considering packet collision by using positions
and the density of vehicles. Furthermore, we analyze the proposed method by computer
simulation.
We propose a method for estimating PDR considering packet collision by using positions-9-and density of vehicles. This method corrects a PDR by multiplying the PDR not considering
packet collision by the probability that packet collision does not occur. The PDR consideringcollisions of the packets from the transmitting vehicle to the receiving vehicle is found by
𝑃𝐷𝑅 𝑪 , 𝑪
𝑃𝐷𝑅𝑪 ,𝑪,
𝑃𝐻 𝑪 , 𝑪(1)
where 𝑪 and 𝑪 are the meshes of the transmitting and the receiving vehicle, 𝑃𝐷𝑅𝑪 ,𝑪and 𝑃𝐻 𝑪 , 𝑪
are the PDR not considering packet collision and the probability that thehidden collision does not occur when one vehicle transmits packets at 𝑪 and anothervehicle receives at 𝑪 .
In order to evaluate the performance of the proposed method, computer simulations using
the C++ programming language are executed. Fig. 2.1-1 shows the layout of the simulation
scenario. Each street of the crossroads has 5 m width and 215 m length. Fig. 2.1-2 shows the
PDRmap, Fig. 2.1-3 shows PDR
and Fig. 2.1-4 shows the PDR
map. The simulation results show that the proposed method can estimate PDR moreaccurately than the method not considering packet collision.

Fig. 2.1-1. The layout of simulation scenario

Fig. 2.1-2. PDR
mapwhen the vehicle transmits
packets at the mesh A

Fig. 2.1-3. PDR
mapwhen the vehicle transmits
packets at the mesh A- 10 -

map
Fig. 2.1-4. PDR
when the vehicle transmits
packets at the mesh A

[ULA Equipped UAV-BS for Low Power
Wireless Networks] (Adachi Lab.)In wireless sensor networks (WSNs), highoutage probability is one of the major problems
due to the low transmit power of sensor node(SN) and interference among SNs. Instead of a
fixed ground base station (BS), the use of an
unmanned aerial vehicle (UAV) as a BS has
been attracting attention. This is because UAVBS can be deployed at an arbitrary place, so it
can avoid SNs from transmitting with highpower. However, interference among SNs still
exists. In order to avoid such interference, wehave previously proposed rotational angle
Fig. 2.1-5 Outage probability
division multiple access (RADMA) for UAV-BS
performance.
with a uniform linear array antenna (ULA). In
RADMA, virtual sectors are created by RADMA
and SNs within each virtual sector transmit ateach time. Thus, interference among SNs can
be avoided. This year, we have first
theoretically evaluated the performance
improvement brought by RADMA under low
power wide area (LPWA) scenario. Then, asimple trajectory design to cover wide
communication area is developed. The
analytical and simulation results perfectly
match with each other, as shown in Fig. 2.1-5.
Thus, it confirms the validity of the derived
closed-form expression. By combining a
trajectory design of UAV-BS and RADMA, theFig. 2.1-6 Packet loss ratio performance.
outage probability of WSN can be significantly
reduced. Fig. 2.1-6 shows packet loss ratio of the conventional method and RADMA with theproposed trajectory design as a function of the number of SNs, K. As can be seen from thefigure, the proposed method can suppress the packet loss even when the number of nodes islarge.
(B) Radar Signal Processing[Vehicle Onboard Radar] (Inaba Lab.)We have proposed stepped multiple frequency (SMF) modulation. The unique radar
modulation/demodulation method can achieve a high range resolution and a long-range
detection performance by a narrow receiver bandwidth compared to transmitting bandwidth.
That is why this method has long range detection performance. Stepped multiple frequency
CPC modulation proposed by Inaba Laboratory made it possible to obtain the extremely low
range side-lobe by the short code length in CPC pulse compression. Authors have developed
the millimeter wave radar using stepped multiple frequency CPC (Fig.2.1-7). Thesemillimeter wave radars meet the specified low-power radio station standard of the millimeterwave in Japan. In recent years, Japanese radio wave laws for short range radar has been
modified for use of the ultra-wide bandwidth of 4 GHz in 79 GHz band. The advantage of this- 11 -

method itself must be more remarkable for use of the ultra-wide bandwidth. On the other
hand, SMF modulation suffer from the deterioration of the detectable velocity accompaniedby expansion of transmission bandwidth, since it adopts the transmission sequence ofswitching the frequencies in time-division. In the case of use of ultra-wide bandwidth of 4GHz,
we also face not only the velocity ambiguity but the range ambiguity problem, since thefrequency steps also must be sparse for keeping the number of pulse repetitions. We proposed
the sparse frequency division radar, in which the sparse frequency steps are designed for
obtaining good side-lobe characteristics by less frequency steps without range-Doppler
ambiguity. The target signals are obtained by the signal processing of iterative signal
subtraction and frequency estimation (Fig.2.1-8). These proposed methods can detect thetargets having different receiving signal level of power among them with the resolution ofultra-wideband without ambiguity in both velocity and range profiles.
Range /
Velocity

Velocity

CPC0

CPC0

PC

A/D

CPC1

CPC1

CPC0

PDF

+/-

CPC1

Phase
Comp.

CPC0

ADD

CPC1 CPC0+CPC1

SWW

Iteration of iterative signal subtraction and
Iteration of RSSF
frequency estimation
Ref.

Millimeter wave radar

Fig. 2.1-7 Millimeter wave radardeveloped by Inaba Lab. of UEC

Signal Generation（each frequency step，
code，pulse）

Detection

Fig.2.1-8 Block diagram of the signal processing of iterative
signal subtraction and frequency estimation method in
stepped multiple frequency CPC.

[High Dynamic Range DSP Chirp Radar Transceiver] (Yamao Lab.)
Automotive and marine radars require high dynamic range and high resolution to identify
multiple targets. We propose a novel digital signal processing (DSP) radar transceiver
implementation design that consists of a multi-bit quadrature Δ-Σ modulator transmitter anda mismatched filter receiver (Fig.2.1-9). It can achieve high dynamic range with moderate
oversampling frequency while relaxing the requirement for digital-to-analog converter (DAC)
resolution. The simulation results for a linear FM chirp radar signal show that the proposedtransceiver with 3-bit DACs can achieve high dynamic range of more than 75 dB in range
pulse response. The performance of the proposed transceiver has been validated also by
experiments (Fig. 2.1-10).

Fig. 2.1-9 Proposed DSP radar transceiver.
Fig. 2.1-10 Measured range pulse outputs
with mismatched filter.

- 12 -

(C) RF-ID Communications[Read Accuracy Improvement by R/W Beam Scanning and Repeated Transmission for 920
MHz RFID] (Yamao Lab.)Radio Frequency Identification (RFID) has been expected as a promising solution thatbring about revolution in the supply chain management. One of the important scenarios isthat an RFID system is used for identifying goods in shops and warehouses. For achieving
good read accuracy, however, it is necessary to understand indoor radio propagation
environment with surrounding materials that reflect radio waves and generate standing
waves. In this study, we analyze RFID read success rate in metal shelf environment through
FDTD simulation. In order to reduce the read error, we propose a reader/writer (R/W) beamscanning and repeated transmission scheme with a moving conductor. By displacing the
conductor in the vicinity of R/W antennas, directivity of R/W antenna changes as shown in
Fig. 2.1-11, which causes dynamic change of multipath propagation structure between R/Wantenna and RF tag. As a result, receiving power null position caused by the standing waves
is moved and read accuracy can be improved by repeated transmission and selection
combining (Fig. 2.1-12). It is confirmed from the simulations and experiments that the read
success rate is greatly improved by the proposed scheme.
Cumulative Probability of E.F.S

1
0.9

Proposed
提案法 method (3-beams)

0.8

Only
R/Wアンテナ1台のみ
one R / W antenna

0.7

R/Wアンテナ3台で選択合成
Three
R / W antennas
at deferent places

0.6

Required Level

0.5
0.4
0.3
0.2
0.1
0
‐60

‐50

‐40

‐30

‐20

‐10

Electric Field Strength (E.F.S.) (dBV/m)(a) Configuration(b) Directivity change

Fig. 2.1-11 R/W antenna with a moving conductor.

Fig. 2.1-12 Cumulative distribution of
E.F.S. in the storage shelf area

2.1.4 Funds【Grants-in-Aid for Scientific Research】
1. Scientific Research A “Basic Research on Automated Driving System by Integrating
Autonomous Sensing and Cooperative Information Sharing Technologies”
Y. Yamao, T. Fujii, T. Inaba, S. Obana, T. Ogitsu (Gunma Univ.)
2. Fund for the Promotion of Joint International Research (Fostering Joint International
Research) “Research on Advanced Wireless Vehicle Networks with Learning Spectrum
Environment for Cooperative Self Driving”
T. Fujii
3. Scientific Research C “Research on Energy Efficient Wireless Communications Network
Using UAV-BS”
K. Adachi【Commissioned Research】- 13 -

01. Strategic Information and Communications R&D Promotion Program (SCOPE), “R & D
of Ultra-wide band coherent radar technology”
T. Inaba, Y. Yamao and M. Akita【Cooperative Research】
1. “Research on improvement in recognition rate of RF IDs”
Y. Yamao
2. "Research on communications technology for machine tools"
K. Adachi and Y. Yamao【Other Funds】
1. “Parameter design for stepped multiple frequency CPC radar”, Academic consulting
T. Inaba
2. “Analysis program of stepped multiple frequency CPC”, License agreement
T. Inaba- 14 -

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. Y. Yamao
Prof. Koichiro Ishibashi
Prof. M. Matsuura
Prof. K.Wada
Associate Prof. R. Ishikawa
Visiting Prof. K. Honjo
Visiting Prof. Y. Takayama
Visiting Prof. A. Saitou

Reconfigurable RF Circuit, Nonlinear Compensation
Low Power RF Devices, Sensor Networks
Wideband RoF Systems, Devices, Fibers and Integration
Microwave Filters and Their Applications
Microwave/Millimeterwave Devices and Circuits
Microwave Engineering, Semiconductor Devices
Microwave Power Amplifier Systems
Electro-Magnetic Wave Engineering, Antennas

2.2.3 Major Research Outcomes in 2019（A）Multi-Band Multi-Access Wireless Hardware for 5G System[High-efficiency GaN HEMT Doherty Power 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 atlarge output power back off levels dominates a total power consumption of the amplifiers than that insaturation levels. Thus, high efficiency characteristics are required for wide dynamic range in the amplifiers,
where a special attention should be paid on the efficiency at large output back-off (OBO) power level. For
this issue, we have developed a harmonic-tuned high-efficiency GaN HEMT Doherty power amplifier(DPA) without a quarter-wave transformer. The output matching circuits in the fabricated DPA were
designed based on the dual-RF-input-power-level impedance optimization method instead of one with aquarter-wave transformer for load modulation. In addition, optimum harmonic reactive termination
conditions to achieve high efficiency were maintained in the load modulation for both carrier and peaking
amplifiers. The fabricated DPA achieved a maximum drain efficiency of 67% and a maximum power-added
efficiency (PAE) of 61% with a saturation output power of 40 dBm at 4.7 GHz. Furthermore, in a 7-dB
back-off condition, a drain efficiency of 66% and a PAE of 60% were obtained, which were comparable tothe saturated output power efficiencies and had excellent back-off performance. In addition, a maximum
drain efficiency of 60 and a PAE of 55 % were achieved at a 7-dB OBO between 4.68 and 4.74 GHz. (Fig.
2.2.1)

Fig. 2.2.1

Fabricated harmonic-tuned high-efficiency GaN HEMT Doherty power amplifier, and its characteristics- 15 -

[Compact Reconfigurable Bandpass Filter with pHEMT Switched Capacitor Array ICs]
（Yamao Lab.）For more efficient use of radio
SCA
SCA
C23
C23
spectrum in 5th generation mobile
C21
SW 3 C22
C21
SW 3 C22
communication(5G)
andbeyond,SW
SW
1
2
SW 1 SW 2
reconfigurable RF circuits that can
flexibly change multiple bands are
l20
Lin
l20
Lout OUT
IN
promising.
Three-bitreconfigurable
Linterbandpass filters (BPFs) have been Zg
ZL
Lcut
Lcut
proposed that employs reconfigurable Vg
l1l1
resonators with branch-line switching
structure. However, from the view point of
SHORT
SHORT
actual implementation, the transmission
lines that form branch-lines restrict theFig. 2.2.2 Three-bit reconfigurable BPF withcircuit size and increase complexity. In this switched capacitor arrays.
study, we design a new reconfigurable
resonator with a switched capacitor array (SCA) and apply it to 3-bit reconfigurable BPF
in SHF band. After analyzing the influence of parasitic capacitance of the RF switches, a
3-bit SCA is designed using 0.5-μm gate pHEMT process including MIM capacitors.
Prototype BPF is fabricated for selecting center frequencies from 3.3 to 4.44 GHz. The
measured RF characteristic of the prototype is almost same as that of transmission line
design, while reducing circuit size remarkably.

Fig. 2.2.3 PHEMT 3-bit switched capacitor array IC.

Fig. 2.2.4 Prototype BPF with PHEMT 3-bit SCA ICs.

(a) S21(b) S11
Fig. 2.2.5 Measured S parameters of the prototype SCA BPF.

[Blind Nonlinear Compensation of Tandem Nonlinearity Caused by Transmitter andReceiver（Yamao Lab.）
Nonlinear compensation for RF circuits is an important research topic in 5G mobile communication, in
which higher level modulation schemes are employed more often to achieve high capacity and ultrabroadband services. Transmitters and receivers in 5G systems are required to cover broad bandwidth and- 16 -

achieve high-accuracy signal transmission. This study proposes a novel blind nonlinear post-compensation
technique (Tandem Nonlinearity Post Compensation; TNLPC) that improves received EVM by eliminating
whole nonlinearities caused by transmitter and receiver after receiving the signal. The total nonlinear
characteristic is modelled using a tandem polynomial and the proposed post-compensator determines theinverse characteristic of the tandem nonlinearity without knowledge of sending signal. The simulation
results employing LTE-A signal with 256 QAM modulationℎ𝐂 , 𝐇 𝐛
show that the proposed method can efficiently suppress𝑓𝑓
Tx and Rx
nonlinearity and achieve EVM of less than 2 %.
𝑦 𝑡
𝑥 𝑡
Composite
Nonlinear Model

ReceiverTransmitter
𝑓

𝑓

𝑥 𝑡
𝑥 𝑡

𝑣 𝑡

𝑓

ℎ

𝑦 𝑡
𝑦 𝑡

LNA

𝑎
ℎ

Compensator

𝑓

𝑣 𝑡

PA

𝑧 𝑡

𝑏
AWGN

𝑢 𝑡

𝑓

𝑡

Coefficent
Determiner𝑓Fig.2.2.6 Tandem nonlinearity model of transmitter andreceiver.

(a) without TNLPC𝐰

Post Compensator

Fig.2.2.7 Block diagram of TNLPC.

(b) with TNLPC

Fig. 2.2.8 EVM without or with nonlinear compensation.

（B）8-channel Multiplexing OAM Communication using Loop Antenna Arrays with Resistors(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 -direction for a circular loop
antenna conductor contains only one Fourier expansion coefficient. This condition almost retains at theloop-antenna conductor length of nλ (n is the integer). Based on this principle, we have successfully
developed an 8-channel multiplexing OAM communication using double-layer coaxial 4 loop-antenna
arrays adjusted with port azimuths of the loop antennas by π/2m, where m is magnetic quantum number. In
this system, current distributions are scrutinized for the arrays, and the unique scattering of the OAM waves
by the feeding coaxial cables is confirmed to undermine the orthogonality for the OAM waves. Induced
interference waves could be reduced by implementing resistors at the antinodes of the current on theantennas of the orthogonal port azimuth. The signal wave was not affected, because the position of theresistor became the node where the antenna was stimulated. With the configuration, 8-element arrays were

- 17 -

designed and fabricated, and the simulated and measured improved signal to interference ratios (SIRs) forthe communication distance of 3 cm were better than 6.8 dB and 9.7 dB at 5.21 GHz. The measured SIR
for the antenna with the resistors were better by 6.2 dB than that for the antenna without the resistors. (Fig.
2.2.9)

Fig. 2.2.9 Constructed 8-channel multiplexing OAM communication system using loop antenna arrays with resistors, and its
characteristics（C） Photonic Digital-to-Analog Conversions (DACs) for RoF Systems (Matsuura Lab.)In this year, we present a photonic digital-to-analog conversion (DAC) technique based onblue-chirp spectral slicing using a semiconductor optical amplifier (SOA). Because the gainchange in an SOA leads to a refractive-index change based on the change in intensity of the
input data signal, probe signals experience a dynamic frequency shift to a shorter-wavelengthside called blue-chirp. After passing through the SOA, the probe signals corresponding to thelogic level of the input digital signal are extracted by filtering only the blue-chirp componentof the probe signals using rectangular-shape filters. In this study, we demonstrate a 10-Gb/s,
2-bit photonic DAC from a 10-Gb/s digital signal with various data patterns to a four-level
amplitude signal assuming an analog signal. In addition, we evaluate the resolution
performance of the photonic DAC in terms of differential and integral nonlinearities andeffective number of bits.

Fig.2.2.10 Relationship between input 2-bit
digital code and output peak voltage of eachcorresponded pulse for different input data
patterns.

Fig.2.2.11 (a) Differential nonlinearity(DNL) and (b) integral nonlinearity (INL)
for input digital codes.

To evaluate the conversion performance of the photonic DAC, we measured the output peak voltageof the converted pulse trains. Figure 2.2.10 shows the relationship between the input digital code andoutput peak voltage of the converted pulse trains. The obtained output peak voltage increased
linearly with respect to the input digital code. On the other hand, we observed the peak voltage
differences of the converted pulse trains for each input data pattern.

- 18 -

To assess the resolution performance of the photonic DAC, we calculated the differential
nonlinearity (DNL) and the integral nonlinearity (INL) from the transfer functions, as shown in Fig.
2.2.11. The DNL was defined as the maximum deviation from one least significant bit (LSB), which
was the smallest increment of a DAC output between two consecutive levels, whereas the INL wasdefined as the maximum deviation of the input/output transfer function from the best-fit line, as
shown with the dotted line in Fig. 3. The absolute values of the DNL and the INL were up to 0.20 and
0.08 LSB, respectively. All the DNL and the INL values were from −0.5 to 0.5 LSB, which offered ano-mission code to the presented 2-bit photonic DAC.

2.2.4 Funds【Grants-in-Aid for Scientific Research】
1. Grant-in-Aid for Scientific Research (C),”Microwave OAM Antenna” (A. Saitou)
2. Grant-in-Aid for Scientific Research (C),”Reconfigurable RF Switch Based on a Meta-material
Technique” (H. Mizutani, K. Honjo)【Commissioned Research】
1. MIC, SCOPE, “Research and development of personal area high-speed and large-capacity
wireless communication and wireless power transmission module” (R. Ishikawa, K. Honjo, Y.
Takayama, A. Saitou, H. Suzuki)【Cooperative Research】
1. Taiyo Yuden Co., Ltd. “Study on OAM applications” (-10/2019)
R. Ishikawa
2. RF device technologies Inc. “Study on novel devices and its evaluation methods for wirelesscommunications”
R. Ishikawa
3. SoftBank Group Corp. “Low power consumption amplifier”
R. Ishikawa
4. 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
power systems”
R. Ishikawa
5. Mebius Inc., Tokyo Metropolitan Industrial Technology Research Institute, “Development ofHigh-Accuracy mm-Wave Radar Signal Measurement System Targeting Autonomous Driving
and Its Application to Frontend-End Circuit of Interference-Tolerant Radar”
Y. Yamao- 19 -

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
by sustainable technologies of wireless systems

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

2.3.3 Major Research Results in 2019
[Signal Power Prediction considering Structure Information via Neural Network] (Fujii Lab.)
Recently, a measurement-based signal power map is considered as the accurate prediction
method of radio propagation. The map has the average signal power in each mesh. The
traditional method of radio propagation estimation utilizes empirical propagation models,such as the Okumura-Hata model. The empirical propagation models have been used fordesigning the coverage of cellular systems since they can estimate median path loss with afew parameters and less computational complexity. Almost all of these models were notdesigned for estimating shadowing. The measurement-based signal power map can help theaccurate prediction for the components of path loss and shadowing when the mesh size isenough small and the data size is enough large. However, the construction cost of the map is
too expensive to predict wide-area radio propagation. Therefore, the alternative method for
accurate prediction or the method for support the map is needed. On the other hand, machinelearning becomes popular because a computer became a higher performance and a lower costthan before. Then, Neural Network (NN), which is one of machine learning, has been used
for a study well as the alternative method for various expressions. In this study, we tried to
predict the radio propagation including not only the path loss component but also theshadowing component considering the structure information. As an initial study, the imageof the building place was used as the structure information. Fig. 2.3-1 shows the concept ofour study. A few information, which is the road width, the distance from the buildings andthe direction of the road, were extracted from the picture as input variables for the NN. We
performed the prediction of radio propagation using NN and regression considering thestructure information. Fig. 2.3-2 shows the RMSE of the prediction result. We can confirm
that the structure information and NN help a higher accurate prediction of radio propagation.

Fig. 2.3-1 Concept of the radio propagationconsidering structure information via NN.

- 20 -

Fig. 2.3-2 RMSE characteristics.

[Adaptive Band and Power Control for Spectrum Shared Mobile Systems] (Fujii Lab.)In this research, to realize spectrum sharing in private 5G environment, we propose analgorithm that utilizes spectrum band divide allocation and power control in cooperation
with measurement-based spectrum database. Figure 2.3-3 shows the system model of thedatabase. The radio environment information such as the received signal power of the own
cell and the interference cell, the spectrum band, the Cell ID, etc., which are observed fromthe mobile devices is stored in the database. From the data sets, the average Signal-toInterference plus Noise power Ratio (SINR) is derived for each square mesh, and theprobability distribution of the mesh with the lowest average SINR is estimated and the celledge throughput is derived. In the proposed method, from the estimated probability
distribution and throughput, the throughput can be maximized by utilizing an algorithm
that combines power control and spectrum band divide allocation to satisfy the permissible
outage probability and the lower limit of throughput.
Figures 2.3-4 and 2.3-5 show the simulation results. From Fig. 2.3-4, the proposed method
shows a higher average throughput than the conventional method (power control only).
From Fig. 2.3-5, it can be confirmed that the permissible outage probability is satisfied.

Fig. 2.3-3 System model of the database.

Fig. 2.3-4 Average throughput.

Fig. 2.3-5 Maximum outage probability.

[Radio and Computing Resource Allocation for Mobile Edge Computing] (Adachi Lab)In this research, we tackle the user scheduling problem for multi-user mobile edge
computing (MEC) (or multi-access edge computing) systems. MEC system enables real-timeprocessing of users’ tasks. This is realized by exchanging information between users and
MEC server, which is located at the edge of radio access network (RAN). The MEC server isrequired to process the tasks offloaded from users. Thus, it is necessary to appropriately
allocate not only radio resource but also computing resource at the MEC server. Different
from legacy wireless communication systems, task uploading, task processing, result- 21 -

downloading need to be considered during scheduling. We consider the scenario where there
are two types of users, i.e., MEC users and legacy users. The objective of MEC users is tocomplete the task processing within a deadline while that of legacy users is to maximize thethroughput. In such an environment, two different objectives should be balanced. In thisresearch, we propose a scheduling metric to balance the two objectives. The computer
simulation results elucidate that the proposed scheduling metric can balance thethroughput performance of legacy users (Fig. 2.3-6 (a)) and the outage probability of MEC
users (Fig. 2.3-6 (b)).

(a)(b)
Fig. 2.3-6 Performance of the proposed scheduling strategy (a) Throughput performanceof legacy users (b) Outage probability of MEC users.
[Q-Learning Based Resource Allocation in LPWA] (Adachi Lab.)
Low power consumption communication is
becoming more important due to the emerge of
the Internet-of-Things (IoT). Long-range wide
area network (LoRaWAN) is one of thepromising network architectures for low power
wide area networks (LPWANs). However, due(a)to the simple medium access control (MAC)
protocol of LoRaWAN, packet collision
happens more frequently as the network size
becomes larger. To tackle the packet collision
problem, we have proposed a machine learning
based resource allocation scheme. In a realistic
scenario, multiple systems share the same
frequency band. Thus, the performance of thesystem may be severely degraded by intersystem interference. In this work, we propose
an inter-system interference state change
detection for efficient use of limited frequency(b)resources. The proposed detection scheme
Fig. 2.3-7 Performance of the proposed
utilizes a density ratio estimation and requires
resource allocation scheme (a) Detection
neither any prior knowledge nor informationof inter-system interference state
about the other system. In order not to requirechange (b) PDR performance.
training data, pseudo training data and test
data are generated. Once the change of theinter-system interference state is detected, the frequency channels are reassigned to
LoRaWAN nodes by relearning. The performance evaluation considering the LoRaWAN
network has been conducted. As can be seen from Fig. 2.3-7 (a) that the proposed scheme cansuccessfully detect the change of the inter-system interference state, which results in higher- 22 -

value of abnormality. In the proposed scheme, reearning of channel allocation is carried out
once such high abnormality is detected. By carrying out relearning of the channel allocation,
the proposed scheme can improve the packet delivery rate (PDR) performance compared tothe system without detection as shown in Fig. 2.3-7 (b).
[Grant-Free Access for Massive Users] (Koji Ishibashi Lab.)
Future wireless communication such as
Beyond 5G and 6G would accommodate
massive number of devices, as represented byInternet-of-Things (IoT). In order to realize
efficient low-latency data transmission of large
number of devices, designing multiple access
schemes is crucial. While conventional grantbased access schemes, e.g., time divisionmultiple access (TDMA), can achieve highlyefficient transmission via resource allocation
for devices, such allocation causes a large
Fig. 2.3-8 SER performance ofoverhead in the presence of massive number of
GF-NOMA schemes.
users, which results in the degradation of thethroughput performance. To this end, we haveproposed two efficient random access schemes:
1) grant-free non-orthogonal multiple access(GF-NOMA) employing multiple measurement
vector approximate message passing (MMVAMP), 2) coded slotted ALOHA with ZigZag
decoder. In GF-NOMA scheme, a multiantenna base station (BS) receives transmitted
symbols, while devices are randomly activatedto transmit their pilot and data symbols, which
are multiplied by their unique non-orthogonal
Fig. 2.3-9 Throughput performance
sequences. Then, the BS estimates the activeof ZDCSA and E-ZDCSA.
users and the transmitted data symbols via our
proposed algorithms based on MMV-AMP. Fig. 2.3-8 shows the symbol error rate (SER)
performance of GF-NOMA with our proposed receivers named Boosted AMP and MMV-AMP
and demonstrates that our proposals outperform the conventional scheme, namely BSASP.
Moreover, we have proposed ZigZag decodable coded slotted ALOHA (ZDCSA) and enhanced
ZDCSA (E-ZDCSA) as schemes which apply ZigZag decoding before and after successiveinterference cancellation, respectively. Both schemes can retrieve a larger number ofcolliding packets than the conventional coded slotted ALOHA scheme and yield superior
throughput performance as shown in Fig. 2.3-9. Those results have been already published
in IEEE journals.
[Frame-Theoretical Design of Massively Concurrent NOMA] (Koji Ishibashi Lab.)
Non-orthogonal multiple access (NOMA) is a promising enabler to support massive users
in the next-generation of wireless systems such as Beyond 5G and 6G. Recently, NOMA
schemes based on sparse multiplexing such as sparse code multiple access (SCMA) havegained much more attention since each user-data can be detected by a low-complexity
message passing algorithm (MPA). However, users cannot exploit overall available
resources of the system since the sparse use of recourses is necessary to use MPA. To improve- 23 -

the achievable rate, we proposed a frametheoretical design of NOMA exploiting fullresources of the system. However, the dense use ofresources results in the high complexity of thedetection. To this end, we also proposed an efficient
detector based on tree search. Figure 2.3-10 shows
the achievable sum-rate of our proposed NOMA
(MC-NOMA) and conventional approaches (PDMAand SCMA) in downlink scenarios. As obvious fromthe figure, our proposed approach outperforms both
SCMA and PDMA across the SNR range. Those
results have been already published in IEEE
journals.

Fig. 2.3-10 Achievable sum-rateof several NOMA schemes.

[Blockage-Aware Robust Beamforming for mmWave Communications] (Koji IshibashiLab.) ]The utilization of high-frequency bands,
including millimeter-wave bands, is essential for
future mobile communications with high data-rate.
In such communications, the system throughput canbe significantly improved by beamforming, which
performs interference management and resource
allocation among users based on channel state
information (CSI). However, it is significantly
difficult to obtain the perfect CSI due to a hugeburden of the estimation process with a large
Fig. 2.3-11 CDF of the instantaneous
number of antennas. In addition, unpredictable
SINR of the conventional andpath-loss may be caused by sudden blockages due to proposed methods.
vehicles and human bodies. To deal with these
impediments, a robust design against CSI errors is necessary. Although robust beamforming
techniques considering channel estimation errors have been investigated in the literature,
the sudden blockage has not been considered yet. We hence proposed a robust beamforming
considering the channel estimation error and blockage loss. Figure 2.3-11 shows the
cumulative distribution functions (CDF) of the instantaneous signal to interference plus
noise ratio (SINR) of the conventional and proposed methods. When the required SINR of
the system is 11 dB, the conventional method achieves the required SINR with a probabilityof 39%, while the proposed method achieves it with a probability of 96%. Thus, the proposed
method can achieve more reliable communication than the conventional method.
[Optically powered transmission systems for optical access networks]（Matsuura Lab）
Optical access systems are expected to play an important role in supporting multiple wired
and wireless internet services in future communication networks. In particular, radio-overfiber (RoF) is an essential technology for transmitting radio-frequency (RF) signals into fiber
links between a central office (CO) and remote antenna units (RAUs), as well as for providing
broadband mobile communications. A reduction in the cell size of RAUs is required to support
higher data rates for RF signals, and a large number of RAUs should be installed, especiallyin densely populated areas. Therefore, it is important to provide cost-effective installation,
operation, and maintenance of RAUs. Power-over-fiber (PWoF) is a simple way tosimultaneously transmitting optical data and power into the same optical fiber. In RoF- 24 -

networks, PWoF is effectively used not
only to deliver the power required for
driving RAUs from a CO, but also tocentralize the power source in the CO.
Although it is well known that thepower transmission efficiency (PTE) of
PWoF is lower than that ofconventional electrical power lines, we
believe that PWoF is an attractive
approach to reducing overall network
power consumption.
In this year, we demonstrate a PWoF
feed with up to 150-W of power using a
1-km double-clad finer (DCF). To show
the feasibility of the PWoF system, we
Fig. 2.3-12 Transmitted electrical power andinvestigate the bend performance andPTE as a function of total optical feed power.
temperature characteristics of the DCF
link. We also evaluate data and powertransmission performance under the 150-W PWoF feed in the DCF link.
To evaluate the electrical power supply capability of the PWoF system, we measured theelectrical PTE, which is defined as the power ratio between the four high-power laser-diode(HPLD) outputs and the total electrical power converted by the six PPCs. The result is shownin Fig. 2.3-12. As the total optical feed power increased, the converted electrical powerincreased linearly, whereas the PTE was almost constant regardless of the total optical feed
power. Power linearity and the constant PTE are quite useful in the control of supplied power
according to the temporary traffic load of each RAU. In the 150-W optical feed, the totaltransmitted electrical power was 7.08 W. The calculated average PTE was approximately
4.84%. If we were to use photovoltaic power converters (PPCs) with a higher O/E conversion
efficiency, the PTE would be further improved.

2.3.4 Funds【Grants-in-Aid for Scientific Research】
1. Scientific Research B “Research on Spectrum Sharing among Multiple Systems basedon Correlation of Wireless Environment using Crowd Sensing”
Takeo Fujii
2. Scientific Research Fostering Joint International Research “Research of Advanced V2X
Network based on Wireless Environment Learning for realizing Cooperated
Autonomous Vehicles”
Takeo Fujii
3. Scientific Research B “Research on Information Passing between Sensing Information
Space and Physical Space for Dense Wireless Sensor Network”
Takeo Fujii (PI belongs to other organization)
4. Scientific Research B “Research on Advanced Wireless and Wired Harmonized SDN”
Takeo Fujii (PI belongs to other organization)
5. Scientific Research Fostering Joint International Research Type B “Research of Smart
Spectrum using Multi-dimensional Wireless Environment Recognition based on
Learning”
Takeo Fujii (PI belongs to other organization)
6. Scientific Research B “Research on Optically Powered Radio-over-Fiber systems”
Motoharu Matsuura
7. Scientific Research A “Research on New Transmission Technologies based on Lattice
Structures for Next-Generation Ultra-High Data-Rate Communications”- 25 -

Koji Ishibashi (PI belongs to other organization)
8. Scientific Research A “Research on analog factor graph for large MIMO systems”
Koji Ishibashi (PI belongs to other organization)【Commissioned Research】
1. MIC “Dynamic Spectrum Sharing among Different Radio Services”
Takeo Fujii, Koichi Adachi
2. MIC “Highly-Reliable Wireless Access Technology for Advanced 5G Networks”
Koji Ishibashi
3. MIC SCOPE “Augmented Learning of Wireless Communication Environment for
Forwarding Frequency Spectrum Sharing”
Koichi Adachi
4. MIC SCOPE JP-EU Joint Research “5G Enhanced Mobile Broadband Access Networks
in Crowded Environments (5G-Enhance)”
Takeo Fujii, Koji Ishibashi, Koichi Adachi
5. MIC SCOPE “Unified IoT Monitoring System for Improving Spectrum Efficiency”
Takeo Fujii (PI belongs to other organization)【Other Funds】
1. The Telecommunications Advancement Foundation Research Grant, “Adaptive Base
Station Operation Based on Machine Learning”
Koichi Adachi- 26 -

2.4 Division of Exploring Low Power Wireless2.4.1 Purpose of DivisionThis division is aiming at low power wireless device technologies and application systems, whichbecome fundamentals for future wireless communication systems.

We are investigating such low

power wireless technologies as super low power LSI design, energy harvesting technology, powertransfer technology by optical fiber, as well as low power networks by theoretical approach. We also
create new wireless application systems using the low power wireless technologies.
2.4.2 Research Staffs and Their Specialties
Prof. Koichiro Ishibashi（Head of Division, Low-power devices）
Associate Prof. Koji Ishibashi (Green network and communication theory)
Associate Prof. Ryo Ishikawa (RF energy harvesting)
Prof. Motoharu Matsuura (Radio over Fiber)Prof. Takeo Fujii (Smart meters)
2.4.3 Major Research Outcomes in 2019
[Development of RF Energy Harvesting System from Environment RF signal]（ Prof. Koichiro
Ishibashi Lab）
RF energy harvesting technology which could be inevitable for future Trillion Sensor Universe has been
investigated in the division of Exploring Low Power Wireless. We have been investigating to harvest theenergy from environmental RF signal so that every sensor nodes at environment can operate everywhereand every time.
Nowadays cell phone base stations everywhere people are living transmit RF signals. We try to harvest the
950MHz cell phone RF signals with 15MHz BW at OFDM modulation as shown in Fig. 2.4.1. The rectenna
system was designed to have enough BW for receiving the wide BW at OFDM, and it is composed of adipole antenna with matching network, a cross couple rectifier circuit on 65nm SOTB technology. The
system shown in Fig. 2.4.2, is placed in a laboratory room of UEC to receive the environmental RF signal,and harvests power of 2.77uW has been obtained (Fig. 2.4.3). This is the highest power ever reported fromenvironment RF signal of -20dBm input power.

Figure 2.4.2 RF Energy harvesting System
Figure 2.4.1 Environment RF spectrum- 27 -

Figure 2.4.3 Harvested DC power for 60 min[Ambient OFDM Pilot-Aided Backscatter Communications] (Koji Ishibashi Lab.)In the era of internet-of-things (IoT), a huge
number of battery-driven wireless devices will
be installed, so that this would result in atremendously high cost to replace theirbatteries. As a promising scheme to transmit
theinformation

withultra-low-power,

ambient backscatter communication (AmBC)
has gained considerable attention. In previous
studies, AmBC has been implemented based Fig. 2.4.4 SER of the conventional methods
and proposed methods.
on on-off keying (OOK) which can transmit the
information with surprisingly low power, but the data rate and bandwidth efficiency are
limited by using both a low-path filter and an energy detector. To solve this problem, we
have proposed AmBC system employing the structure of ambient orthogonal frequencydivision multiplexing (OFDM) signals and delay-shift keying (DSK), which intentionallyadds the propagation delay to the ambient signals to transmit data. Figure. 2.4.4 shows the
symbol error rates (SER) of the conventional methods and proposed methods. In the regionof low signal-to-noise power ratio (SNR), our proposed methods can achieve the lower SER
than the conventional methods. It indicates that our proposed methods can realize a highly
reliable communication with low complexity demodulation and eliminating the estimation
error of the backscatter signals.

- 28 -

[Low-power high-efficiency GaAs HEMT rectifier at 2.45-GHz band]（Ishikawa Lab.）By rapid progress of wireless communications, many radio frequency (RF) signals now surround us in
our environment. To effectively use environmental electro-magnetic waves, RF energy harvesting
technology is a promising candidate. In RF energy harvesting, a rectifier or a rectenna is a key device forgenerating DC power from RF signals. Since the RF signals are usually very low in power, a sensitive
rectifier is required. For this issue, we have developed an enhancement-mode GaAs pHEMT rectifier. The
enhancement-mode GaAs HEMT was suitable for the rectifier operation due to its moderate gate-drain
feedback capacitance, a strong nonlinearity, and a large transconductance. The gate-drain capacitancegenerates a sufficient gate-switching signal for a very low input power. The fabricated enhancement-mode
GaAs pHEMT rectifier exhibited an RF-to-DC conversion efficiency of 24% for a –30 dBm input power at
2.41 GHz. In addition, RF-to-DC conversion efficiencies of 58, 63, and 63% were achieved at –15, –8, and–3 dBm RF input powers, respectively, when the gate bias voltage was controlled. (Fig. 2.4.5)

Fig.2.4.5

Fabricated enhancement-mode GaAs pHEMT rectifier, and its characteristics- 29 -

[Simultaneous RF and Baseband Signal Transmission over a Multimode Fiber]（Matsuura Lab）
In this year, we present a simultaneous radio-frequency (RF) and high-speed baseband signaltransmission using an electrically superimposed method over a graded-index silica multimode fiber (GIMMF). To show the feasibility of the method, we experimentally demonstrate simultaneous transmissionof electrically superimposed 28-GHz RF and 28-Gbit/s 4-level pulse amplitude modulation (PAM-4)
baseband signals at a wavelength of 850 nm over a 50-m GI-MMF. Moreover, to evaluate the scalabilityof the method, we demonstrate simultaneous transmission of dual-channel, electrically superimposed 28GHz RF and 14-Gbit/s non-return-to-zero on-off keying baseband signals at 850 nm and electricallysuperimposed 14-GHz RF and 14-Gbit/s PAM-4 baseband signals at 1550 nm over the 50-m GI-MMF.
These results show that the presented method is useful for effectively utilizing the transmission band oftransmitters and existing short-reach transmission systems.

Fig. 2.4.-6 (a) EVM characteristics of back-to-back and transmitted 28-GHz RF signals over 50-m GI-MMF
while varying input RF signal power to the laser. (b) Electrical signal spectrum and constellation of back-to-backsignal without 28-Gbit/s PAM-4 signal when input RF signal power was 0 dBm. (c) Electrical signal spectrum
and constellation of transmitted signal over 50-m GI-MMF with 28-Gbit/s PAM-4 signal when input RF signal
power was +3 dBm.

Fig. 2.4.-6 (a) shows the error-vector magnitude (EVM) characteristics of the back-to-back andtransmitted 28-GHz RF signals over the 50-m GI-MMF, while varying the input RF signal power to thelaser. The dashed line shows the EVM value of 8%. For 64-QAM signals, the EVM value needs to be lessthan 8%. Here, the peak-to-peak voltage of the PPG output was set to 800 mVpp. In both cases, it could
be observed that the signal quality of the RF signal was degraded by superimposing the 28-Gbit/s PAM-4
baseband signal. The electrical power penalties between with and without the baseband signal of the
back-to-back and transmitted signals at the EVM of 8% (dotted line) were approximately 7.0 dB and 6.0
dB, respectively. The dynamic ranges of the back-to-back and transmitted signals with the 28-Gbit/s
PAM-4 baseband signals at the EVM of 8% were 12.0 dB and 11.0 dB, respectively. Figs. 2.4-x (b) and(c) show the electrical signal spectra and the constellations of the back-to-back signal without the 28Gbit/s PAM-4 signal and the transmitted signal over the 50-m GI-MMF with the 28-Gbit/s PAM-4 signal.
These signals had high signal-to-noise ratios (SNRs) and good signal constellation diagrams.

- 30 -

[Adaptive Sensor Selection considering Spatial Data Correlation for Wireless Sensor Network]（Prof.
Takeo Fujii）
In wireless sensor networks, the power of each sensor node (SN) is limited because a SN is batterypowered devices. So the method for realizing long-life network is needed. When an observation object has
spatial correlation, sensor selection is valid. In the sensor selection, a fusion center makes some SNs active
and the other sleep. The data of sleeping SNs can be
estimated by data of other SNs exploiting spatial
correlationofobservation

valuesandpower

consumption in the network reduces. The purposes ofFig. 2.4.7 System model.

this study are to realize the long-life network and keep
data accuracy highly. We propose the sensor selection

scheme based on the interpolation accuracy and the number of selection. The number of selection shows
power consumption of a SN. The system model is shown in Fig.2.4.7. In the proposed method, active SNs
are selected by weighting the normalized interpolation accuracy and number of selection. We evaluate theproposed method through numerical simulation to show the number of selection and the data accuracy. The
observation values are the actual temperature data we observed. Fig.2.4.8 shows the data accuracy. The
proposed method is less error than k-means. Use smaller weight, the data accuracy is improved. Table 2.4.1
shows the number of selection. Use bigger weight, SNs are
selected fairly. Therefore, the energy consumption is
distributed and the network lives longer.
Table 2.4.1 the number of selection.
k-means

Proposed
W=0

Proposed
W=0.2

Proposed
W=0.5

Proposed
W=0.8

13.47

4.47

21.80

22.70

23.30

Max 32.57

39.20

25.80

24.40

24.10

Min

Fig.2.4.8 Gathered data accuracy.

【Cooperative Research】
1. “Scavenging nW RF energy using Super Steep Transistor and Meta-Material Antenna,”
On JST/CREST “Scientific Innovation for Energy Harvesting Technology” (Koichiro Ishibashi,
Ryo Ishikawa, and Koji Ishibashi)
2. “Optimization of Smart-Meter Networks” (Koji Ishibashi and Takeo Fujii)- 31 -

３．令和元年度

外部発表リスト

査読付き一般論文【1】M. Takai and K. Ishibashi, “Repeat-accumulate signal codes,” IEEE Trans.
Commun. vol.67, pp.2607-2619, Apr. 2019.
【2】O. Takyu, K. Shirai, M. Ohta, T. Fujii, “Adaptive channel assignment withpredictions of sensor results and channel occupancy ratio in PhyC-SN,”
IEEE Access, vol.7, pp.44645-44658, Apr. 2019.
【3】芝隆司, 秋田学, 稲葉敬之，“周期相関符号を用いた多重化位相符号変調法における自己・相互相関特性の改善法,” 信学論 (B), vol.J102-B, no.4，
pp.328-341, Apr. 2019.
【4】小野哲, 川俣雅寿，和田光司,“チップキャパシタ装荷型結合線路共振器を用いた 2GHz 帯超小型 BPF,” 電子情報通信学会和文論文誌(C), vol.J102-C, no.5,
pp.186-195, Apr. 2019.
【5】F. Sakai, M. Makimoto, and K. Wada, “Near-field chipless RFID tag systemusing inductive coupling between a multimode resonator and detection
probes,” IEICE Trans. Commun., vol.E102-B, no.4, pp.722-731, Apr. 2019.
【6】R.-A. Stoica, G. Abreu, T. Hara, and K. Ishibashi, “Frame theory andfractional programming for sparse recovery-based mmWave channel
estimation,” IEEE Access, vol.7, pp.82080–82100, Jun. 2019.
【7】K. Sato, K. Inage, and T. Fujii, “Modeling the Kriging-aided spatial
spectrum sharing over log-normal channels,” IEEE Wireless Commun. Lett.,vol.8, no.3, pp.749-752, Jun. 2019.
【8】H. Nishizawa, Y. Takayama, R. Ishikawa, and K. Honjo, “Anti-interference
circuit configuration for concurrent dual-band operation in
high-efficiency GaN HEMT power amplifier,” Progress In Electromagnetics
Research C, vol.93, pp.199-209, Jun. 2019.
【9】K. Sato, K. Inage, and T. Fujii, “On the Performance of Neural Network
Residual Kriging in Radio Environment Mapping,” IEEE Access, vol.7, no.1,
pp.94557-94568, Jul. 2019.
【10】C. V. Nguyena, T. L. Quanga, T. N. Vub, H. L. Thib, K. N. Van, T. H. Trong,
T. D. Trong, G. Sund, and K. Ishibashi, “A non-contact infection
screening system using medical radar and Linux-embedded FPGA:
Implementation and preliminary validation,” Informatics in Medicine
Unlocked, vol.16, Aug. 2019【11】横山達也, 小野哲, 和田光司, “パッチアンテナと λ/2 共振器を用いた積層サスペンデッドマイクロストリップ線路アンテナフィルタの設計,” エレク
トロニクス実装学会誌, vol.22, no.6, pp.574-578, Sept. 2019.
【12】S. Sarma and K. Ishibashi, “Time-to-recharge analysis for energy-- 32 -

relay-assisted energy harvesting,” IEEE Access, vol.7, pp.139924-139937,
Sept. 2019.
【13】T.-L. Nguyen, Y. Sato, and K. Ishibashi, “A 2.77 μWAmbient RF Energy
Harvesting Using DTMOS Cross-Coupled Rectifier on 65 nm SOTB and Wide
Bandwidth System Design,” MDPI Open Access J. Electron., 2019, 8(10),1173, Oct. 2019.
【14】S. Tanaka, S. Koizumi, R. Ishikawa, and K. Honjo, “Class-F GaN HEMT
amplifiers using compact CRLH harmonic tuning stubs designed based on
negative order resonance modes,” IEICE Trans. on Electron., vol.E102-C,
no.10, pp.691-698, Oct. 2019.
【15】小菅義夫, 古賀禎, 宮崎裕己, 呂暁東, 稲葉敬之, “Taylor 級数推定法による TOA 測位における初期値,” 電子情報通信学会論文誌(B), vol.J102-B,
no.11, pp.926-935，Nov. 2019.
【16】小菅義夫, 古賀禎, 宮崎裕己, 呂暁東,稲葉敬之, “マルチパス環境下の距離とドップラーを観測値とする Taylor 級数推定法による位置及び速度推定,”
電子情報通信学会論文誌(B), vol.J102-B, no.11, pp.936-947, Nov. 2019.
【17】M. Oinaga, S. Ogata, and K. Ishibashi, “Design of coded ALOHA with ZigZag
decoder,” IEEE Access, vol.7, pp.168527-168535, Nov. 2019.
【18】R-A. Stoica, H. Iimori, G. Abreu, and K. Ishibashi, “Frame theory andfractional programming for sparse recovery-based mmWave channel
estimation,” IEEE Access, vol.7, pp.150757–150774, Nov. 2019.
【19】T. Hara and K. Ishibashi, “Grant-free non-orthogonal multiple access withmultiple-Antenna base station and its efficient receiver design,” IEEE
Access, vol. 7, pp. 175717–175726, Nov. 2019.
【20】T. Ohtsuki, T. Aiba, and M. Matsuura, “Simultaneous radio-frequency andbaseband signal transmission over a multimode fiber,” IEEE Photon. J.,
vo.11, no.6, pp.1-12, Nov./Dec. 2019.
【21】H. Otsuka, R. Yamagishi, A. Saitou, H. Suzuki, R. Ishikawa, and K. Honjo,“High performance OAM communication exploiting port-azimuth effect ofloop antennas,” IEICE Trans. Commun., vol. E102-B, no. 12, pp. 2267-2275,
Dec. 2019.
【22】R. Kobayashi and K. Adachi, “Radio and computing resource allocation forminimizing total processing completion time in mobile edge computing,”
IEEE Access, vol.7, no.1, pp.141119-141132, Dec. 2019.
【23】N. Aihara, K. Adachi, M. Ohta, O. Takyu, and T. Fujii, “Q-Learning aided
resource allocation and environment recognition in LoRaWAN with
CSMA/CA,” IEEE Access, vol.7, no.1, pp.152126-152137, Dec. 2019.
【24】H. Liu, X. Zhu, and T. Fujii, “Convolutional neural networks for- 33 -

pilot-induced cyclostationarity based OFDM signals spectrum sensing infull-duplex cognitive radio,” IEICE Trans. Commun., vol.E103-B, no.1,
pp.91-102, Jan. 2020.
【25】M. Matsuura, N. Tajima, H. Nomoto, and D. Kamiyama, “【Invited】150-W
power-over-fiber using double-clad fibers,” IEEE/OSA J. Lightwave
Technol., vol.38, no.2, pp.401-408, Jan. 2020.
【26】T. Okada, R. Kobayashi, W. Rui, M. Sagara, and M. Matsuura, “Photonic
digital-to-analog conversion using a blue frequency chirp in asemiconductor optical amplifier,” OSA Optics Lett., vol.45, no.6,
pp.1483-1486, Mar. 2020.
査読付き国際会議プロシーディングス等【1】H. Nakajo, Y. Aoki, K. Katagiri, and T. Fujii, “High density spectrum
sharing method among micro operators considering spectrum database,” inProc. IEEE Wireless Commun. Netw. Conf.(WCNC) Workshop on Smart Spectrum(IWSS 2019), Marrakech, Morocco, Apr. 2019.
【2】R. Takahashi and K. Ishibashi, “Design of communication systems for
wireless-powered communications with multiple frequency bands,” in Proc
IEEE Wireless Commun. Netw. Conf. 2019, Marrakech, Morocco, Apr. 2019,
pp.1-6.
【3】T. Hara, A. Stoica, K. Ishibashi, and G. Abreu, “On the sum-rate capacity
and spectral efficiency gains of massively concurrent NOMA systems,” inProc. IEEE Wireless Commun. Netw. Conf. 2019, Marrakech, Morocco, Apr.
2019, pp.1-7.
【4】H. Iimori, G. Abreu, K. Ishibashi, and G. C. Alexandropoulos,“Transmission strategies in imperfect bi-directional full-duplex MIMO
systems,” in Proc. IEEE Wireless Commun. Netw. Conf. 2019, Marrakech,
Morocco, Apr. 2019, pp.1-6.
【5】A. Ikukawa, H. Kuboki, and M. Matsuura, “Relative phase noise evaluationof power-over-fiber in multimode fibers,” in Proc. OWPT 2019, OWPT-P-09,
Yokohama, Japan, Apr. 2019.
【6】H. Nomoto, D. Kamiyama, N. Tajima, T. Okada, and M. Matsuura, “Evaluationof frequency response of photovoltaic power converter for controlling
supply power via power-over-fiber systems,” in Proc. OWPT 2019,
OWPT-P-13, Yokohama, Japan, Apr. 2019.
【7】R. Yazawa, D. Kamiyama, and M. Matsuura, “Payload portability of
power-over-fiber drone for airborne base stations,” in Proc. OWPT 2019,
OWPT-9-05, Yokohama, Japan, Apr. 2019.

- 34 -

【8】K. Katagiri, K. Onose, K. Sato, K. Inage, and T. Fujii, “Highly Accurate
Prediction of Radio Propagation using Model Classifier,” in Proc.
VTC2019-Spring, Kuala Lumpur, Malaysia, May. 2019.
【9】M. Minowa, H. Seki, Y. Okumura, S. Suyama, J. Terada, S. Shigematsu, Y.
Takatori, H. Asano, Y. Hirano, Y. Yamao, F. Adachi, and M. Nakazawa, “5G
R&D Activities for High Capacity Technologies with Ultra High-Density
Multi-Band and Multi-Access Layered Cells,” in Proc. IEEE VTC2019-Spring,
5GPOC-5, May 2019.
【10】Y. Yamao and N. Akutsu, “SHF-Band 3-bit Reconfigurable BPF Employing
pHEMT Switch Arrays for 5G Multiband Operation,” in Proc. EuMCE2019, May
2019, pp.298-301.
【11】Y. Imai and Y. Yamao, “SHF 3-bit Reconfigurable Band Rejection Filter
Using Variable-Length λ/4 Anti-Resonators and LC Parallel Coupling,”
in Proc. EuMCE2019, May 2019, pp.565-268.
【12】K. Ishibashi, R. Takitoge, D. Manyvone, N. Ono, and S. Yamaguchi, “Long
Battery Life IoT Sensing by Beat Sensors”, Multi Sensor Fusion,
Taipei/Taiwan, May 1, 2019.
【13】T. Kume, R. Ishikawa, and K. Honjo, “A high-efficiency DC-to-RF/RF-to-DC
conversion module with zero-threshold FET for bidirectional wirelesspower transfer,” in Proc. 2019 Photonics & Electromagnetics ResearchSymp., 4P3b-4, Rome, Italy, Jun. 2019, pp.4040-4046.
【14】H. Iimori, G. Abreu, and K. Ishibashi, “Fractional programming for robust
TX BF design in multi-user/single-carrier PD-NOMA,” in Proc. The 17th
Int. Symp. Model. Optim. Mobile, Ad Hoc, Wireless Netw., Avignon, France,
Jun. 2019, pp.1-7.
【15】Y. Hatada and T. Fujii, “Receiver Beacon Transmission Interval Design
Using Machine Learning for Multi-Stage Wireless Sensor Networks,” inProc. The 11th Int. Conf. on Ubiquitous and Future Networks (ICUFN 2019),
Zagreb, Croatia, Jul. 2019.
【16】Y. Yamazaki, T. Fujii, K. Adachi, O. Takyu, and M. Ohta, “Spectrum Sharing
Exploiting Spectrum Database for LPWA,” in Proc. The 11th Int. Conf. on
Ubiquitous and Future Networks (ICUFN2019) The 1st Int. Workshop on SmartRadio for IoT Era (SRIoT 2019), Zagreb, Croatia, Jul. 2019.
【17】M. Tanaka, K. Nagasue, J. Ogawa, A. Yokomichi, Y. Ando, T. Ojima, T.
Shizuoka, K. Adachi, and T. Fujii, “Proactive Cache System Using Cellular
Radio Information on MEC,” in Proc. The 11th Int. Conf. on Ubiquitousand Future Networks (ICUFN 2019) The 1st Int. Workshop on Smart Radio for
IoT Era (SRIoT 2019), Croatia, 2-5, Jul. 2019, pp. 1-6.

- 35 -

【18】A. Takahashi, F. Sasamori, S. Handa, O. Takyu, T. Fujii, and T. Ohtsuki,“Overloaded wireless MIMO switching for secure wireless communicationexchanging to untrusted relay,” in Proc. The 11th Int. Conf. on
Ubiquitous and Future Networks (ICUFN 2019), Zagreb, Croatia, Jul., 2019.
【19】Y. Nishio, O. Takyu, H. Soya, M. Ohta, T. Fujii, “Optimal channel
selection rate of slave terminal for rendezvous channel scheme based onchannel occupancy rate,” in Proc. The 11th Int. Conf. on Ubiquitous andFuture Networks (ICUFN 2019), Zagreb, Croatia, Jul. 2019.
【20】R. Katsumata and Y. Yamao, “V2I Multi-Hop Broadcast Communication by
TC-BF Method,” in Proc. The 11th Int. Conf. on Ubiquitous and Future
Networks (ICUFN 2019), Jul. 2019, pp.228-232.
【21】T. Okada, T. Ohtsuki, R. Kobayashi, and M. Matsuura, “Photonic
digital-to-analog conversion based on blue chirp spectral slicing using
a quantum-dot SOA,” in Proc. OECC/PSC 2019, WF1-2, Fukuoka, Japan, Jul,
2019.
【22】R. Kobayashi, T. Ohtsuki, T. Okada, and M. Matsuura, “Electricallysuperimposed analog and digital signal transmission over multimodefibers,” in Proc. OECC/PSC 2019, WF1-4, Fukuoka, Japan, Jul. 2019.
【23】K. Higashi, G. Sun, and K. Ishibashi, “Precise Heart Rate Measurement
Using Non-Contact Doppler Radar Assisted by Machine-Learning-Based Sleep
Posture Estimation,” in Proc. EMBC 2019, Berlin/Germany, Jul. 1, 2019.
【24】T. Ohata, K. Ishibashi, and G. Sun, “Non-Contact Blood Pressure
Measurement Scheme Using Doppler Radar,” in Proc. EMBC 2019,
Berlin/Germany, Jul. 2019.
【25】C. V. Nguyena, T. L. Quanga, T. N. Vub, H. L, Thib, K. N. Van, T. H. Trong,
T. D. Trong, G. Sund, and K. Ishibashi, “A Non-Contact Cardiopulmonary
Measuring System using Medical Radar and FPGA,” in Proc. EMBC 2019,
Berlin/Germany, Jul. 2019.
【26】T. L. Nguyen, S. Takahashi, Y. Sato, and K. Ishibashi, “RF Energy
Harvesting using Cross-couple Rectifier and DTMOS on SOTB with Phase
Effect of Paired RF Inputs,” in Proc. ECTI-CON, Pattaya/Thailand, Jul.
10, 2019.
【27】H. Mizutani, R. Ishikawa, and K. Honjo, “Proposal of a novel SPDT switch
and duplexer dual-function circuit,” in Proc. 2019 Int. Conf. on Solid
State Devices and Materials, M-5-04, Nagoya, Japan, Sept. 2019,
pp.539-540.
【28】Y. Uesugi, K. Katagiri, K. Sato, K. Inage, and T. Fujii, “Clustering of
signal power distribution toward low storage crowdsourced spectrum- 36 -

database,” in Proc. VTC-Fall2019 Workshop on 5G and Beyond Technologies
for Ultra-Dense Environments, Honolulu, Hawaii, USA, Sept. 2019.
【29】Y. Gao, M. Diao, and T. Fujii, “Sensing Selection based on
Dempster-Shafer evidence theory under collaborative spectrum sensing in
cognitive radio sensor networks,” in Proc. VTC-Fall2019 Workshop on 5G
and Beyond Technologies for Ultra-Dense Environments, Honolulu, Hawaii,
USA, Sept. 2019.
【30】R. Ishikawa, T. Yoshida, and K. Honjo, “A 2.4 GHz-band enhancement-mode
GaAs HEMT rectifier with 19% RF-to-DC efficiency for 1 µW input power,”in Proc. 49th European Microwave Conf., EUMC29-4, Paris, France, Oct. 2019,
pp.591-594.
【31】S. Habu and Y. Yamao, “Unified Feedback Beamforming Digital
Predistorter,” in Proc. 49th European Microwave Conf., Oct. 2019,
pp.904-907.
【32】W. Yabuki, J. Ida, T. Mori, K. Ishibashi, and Y. Arai “Effect of Vsub
and Positive Charge in Buried Oxide on Super Steep SS“PN Body-Tied
SOI-FET” and Proposal of CMOS without Vsub Bias,” in Proc. IEEE

SOI-3D-Subthreshold Microelectronics Technol. Unified Conf. (IEEE S3S),
pp1-3, San Francisco/USA, Oct. 2019.
【33】K. Katagiri and T. Fujii, “Demo: Highly accurate prediction of radio
environment for V2V communications,” in Proc. IEEE DySPAN 2019, Nov.
2019.
【34】K. Katagiri and T. Fujii, “Radio environment map updating procedure basedon hypothesis testing,” in Proc. IEEE DySPAN 2019 DD-DSS, Nov. 2019.
【35】A. Abe and T. Fujii, “Dynamic bandwidth allocation for spectrum sharedprivate mobile networks using prior measured CQI information,” in Proc.
IEEE DySPAN 2019 DD-DSS, Nov. 2019.
【36】A. Kamio, F. Sasamori, S. Handa, O. Takyu, M. Ohta, and T. Fujii,“Recognition and countermeasure to hidden terminal problem by packet
analysis in wireless LAN,” in Proc. APSIPA ASC 2019, Lanzhou, China, Nov.
2019.
【37】J. Kawakami, H. Lumbantoruan, and K. Adachi, “NOMA based UAV relay
communication protocol in cellular network,” in Proc. APSIPA 2019, pp.
1-6, Lanzhou, China, Nov. 2019.
【38】K. Daimatsu, J. Ida, T. Yamada, T. Mori, and K. Ishibashi, “Super steep
SS “PN-Body tied SOI-FET” with 65 nm thin Box FD-SOI,” in Proc. IEEE
ICTA, Chengdu/China, Nov. 2019, pp.1-2.
【39】T. Hara and K. Ishibashi, “Low complexity uplink grant-free NOMA based- 37 -

on boosted approximate message passing,” in Proc. The 53rd Asilomar
Conf. Signals, Syst., Comput., Pacific Grove, CA, Nov. 2019,
pp.1877-1880.
【40】R. Takahashi and K. Ishibashi, “Ambient OFDM pilot-aided delay-shift
keying and its efficient detection for ultra low-power communications,”in Proc. The 7th IEEE Global Conf. Signal Inf. Process., Ottawa, Canada,
Nov. 2019, pp.1-5.
【41】S. Funayama and Y. Yamao, “Read Accuracy Improvement by R/W Beam Scanningand Repeated Transmission for 920 MHz RFID,” in Proc. 2019 Asia PacificMicrowave Conf., Dec. 2019, pp.42-44.
【42】T. Seshimo, Y. Takayama, R. Ishikawa, and K. Honjo, “Harmonic-tuned
high-efficiency GaN HEMT Doherty power amplifier based on two-power-level
impedance optimization,” in Proc. 2019 Asia Pacific Microwave Conf.,
Singapore, Dec. 2019, pp.375-377.
【43】H. Mizutani, R. Ishikawa, and K. Honjo, “A novel sub-6-GHz and 28-GHz
GaN switchable diplexer MMIC for carrier aggregation with massive MIMO
full duplex link,” in Proc. 2019 Asia Pacific Microwave Conf., Singapore,Dec. 2019, pp.1651-1653.
【44】N. Hirosawa, H. Iimori, G. Abreu, and K. Ishibashi, “Age-of-information
minimization in two-user multiple access channel with energy
harvesting,” in Proc. 2019 IEEE Int. Workshop Comput. AdvancesMulti-Sensor Adaptive Process., Guadeloupe, French West Indies, Dec. 2019,
pp.361-365.
【45】Y. Iwata, K. Ishibashi, and G. Sun, “Vital Sign Acquisition Using Doppler
Radar under Random Body Movements Rejected by Pca Algorithm,” in Proc.
The 17th Int. Conf. on Biomedical Eng. (ICBME 2019), Singapore, Dec. 2019.
【46】T. Nonaka, M. Ohta, O. Takyu and T. Fujii, “Adapting the Number ofReplicas in the E-IRSA System Using the Power Control,” in Proc. The 34th
Int. Conf. Inf. Netw. (ICOIN2020), Barcelona, Spain , Jan. 2020.
【47】K. Natsume, M. Ohta, O. Takyu, and T. Fujii, “Data Fusion Method
Exploiting Data Correlation for Physical Wireless Parameter Conversion
Sensor Networks,” in Proc. The 34th Int. Conf. Inf. Netw. (ICOIN2020),
Barcelona, Spain, Jan. 2020.
【48】S. Narieda, T. Fujii, and K. Umebayashi, “On power consumption of end
device in LoRa networks with listen before talk,” in Proc. The 34th Int.
Conf. Inf. Netw. (ICOIN2020), Barcelona, Spain, Jan. 2020.
【49】M. Oinaga, S. Ogata, and K. Ishibashi, “Received-power-aware frameless
ALOHA for grant-free non-orthogonal multiple access,” in Proc. The 34th

- 38 -

Int. Conf. Inf. Netw. (ICOIN2020), Barcelona, Spain, Jan. 2020,
pp.282-285.
【50】H. Iimori, A. Stoica, K. Ishibashi, and G. Abreu, “Robust sparse recoveryof mmwave channel estimates via fractional programming,” in Proc. The
34th Int. Conf. Inf. Netw. (ICOIN2020), Barcelona, Spain, Jan. 2020,
pp.318-323.
【51】T. Hara and K. Ishibashi, “Grant-free NOMA using approximate message
passing with multi-measurement vector,” in Proc. The 34th Int. Conf. Inf.
Netw. (ICOIN2020), Barcelona, Spain, Jan. 2020, pp. 426-431.
【52】H. Lumbantoruan and K. Adachi, “Trajectory and communication protocol
for efficient data colleting in UAV-enabled WSN,” in Proc. The 34th Int.
Conf. Inf. Netw. (ICOIN2020), Barcelona, Spain, Jan. 2020.
【53】K. Takahashi and K. Adachi, “Base station operation based on affinity
propagation in cellular networks,” in Proc. The 34th Int. Conf. Inf. Netw.
(ICOIN2020),, Barcelona, Spain, Jan. 2020.
【54】T. Abe and Y. Yamao, “Blind Post-Compensation of Tandem Nonlinearity
Caused by Transmitter and Receiver,” in Proc. IEEE RWS2020, Jan. 2020,
pp.12-15.
【55】Y. Yamao and N. Akutsu, “SHF-Band Compact 3-bit Reconfigurable BPF
Employing pHEMT Switched Capacitor Array IC,” in Proc. IEEE RWS2020, Jan.
2020, pp.309-312.
【56】T. Abe and Y. Yamao, “High Dynamic Range DSP Chirp Radar Transceiver
Employing Multi-bit Δ-Σ Modulator,” in Proc. IEEE WiSNeT2020, Jan.
2020, pp.16-19.
【57】M. Musashi and K. Adachi, “Spectrum database aided prior vacant frequency
band detection for spectrum sharing,” in Proc. The 2nd Int. Conf. on Artif.
Intell. in Inf. and Commun. (ICAIIC 2020), Fukuoka, Japan, 19-21, Feb.
2020【58】Y. Hatada and T. Fujii, “Receiver beacon transmission interval designusing Q-Learning focused on packet delivery rate for multi-stage wirelesssensor network,” in Proc. The 2nd Int. Conf. on Artif. Intell. in Inf.
and Commun. (ICAIIC 2020), Fukuoka, Japan, Feb. 2020.
【59】K. Sato, K. Inage, and T. Fujii, “Radio Environment map construction withjoint space-frequency interpolation,” in Proc. The 2nd Int. Conf. on
Artif. Intell. in Inf. and Commun. (ICAIIC 2020), Fukuoka, Japan, Feb.
2020.
【60】K. Katagiri and T. Fujii, “Measurement-based Spectrum Database for
Wireless Distributed Networks Using Shadowing Classifier,” in Proc. The- 39 -

2nd Int. Conf. on Artif. Intell. in Inf. and Commun. (ICAIIC 2020), Fukuoka,
Japan, Feb. 2020.
国際会議招待講演【1】M. Matsuura, “Over 100-W power-over-fiber for remote antenna units,” inProc. OWPT 2019, OWPT-5-01, Yokohama, Japan, Apr. 2019.
【2】K. Ishibashi, “Beat Sensors for Monitoring Environments, IoT Sensors
Which Persistently Operate in Environments,” in Proc. ECTI-CON,
Pattaya/Thailand, Jul. 10, 2019.
【3】T. Fujii, “Smart Spectrum Database for 5G and Beyond,” in Proc.
ICSINC2019 Spring, Guiyang, China, Aug. 2019.
【4】M. Matsuura, “Power-over-fiber for remote antenna units,” in Proc. IEEE
IPC 2019, WD1.2, San Antonio, TX USA, Sept. 2019.
【5】K. Ishibashi, J. Ida, L. T. Nguyen, R. Ishikawa, Y. Satoh, and D. M. Luong,“RF Characteristics of Rectifier Devices for Ambient RF Energy
Harvesting,” in Proc. 2019 Int. Symp. on Electronics and Smart Devices(ISESD), Oct. 2019, Bali/Indonesia.
【6】R. Kobayashi and K. Adachi, “Radio and Computing Resource Allocation for
Minimizing Total Processing Completion Time in Mobile Edge Computing,”
in Proc. The 10th Int. Conf. on ICT Convergence (ICTC 2019), Jeju Island,
Korea, Oct. 2019.
国内会議招待講演【1】松浦基晴, 米山彰, 田嶋奈奈, 上山大輔, “ダブルクラッド光ファイバを用いた無線基地局向け光ファイバ給電技術,” 信学技報, PN2019-10, Jun. 2020.
【2】藤井威生, “データドリブンスペクトラム動的利用,” 信学技報, SR2019-56,
Jul. 2019.
【3】松浦基晴, “光ファイバ給電による携帯無線基地局向け給電・通信,” 日本学術振興会 光エレクトロニクス第 130 委員会研究会, Jul. 2019.
【4】松浦基晴，“無線基地局の駆動を実現する光ファイバ給電技術,” 光産業技術振興協会 フォトニックデバイス・応用技術研究会, Jul. 2019.
【5】山尾 泰，“無線の回路と信号処理の研究を振返って，” 信学技報 RCS2019-364，
Mar. 2020.
解説・評論【1】松浦基晴, “光ファイバ無線伝送のための光ファイバ給電技術,” シーエムシ
ー出版 機能材料, vol. 39, no. 4, pp. 11-18, Apr. 2019.

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学会口頭発表【1】今井勇太, 小野哲, 和田光司, “品質工学を適用した集中定数素子を用いた高周波帯 LPF の素子ばらつきに強い設計法に関する研究,” 第 254 回 NMS 研究会, Apr. 2019.
【2】片桐啓太, 藤井威生, “車車間通信向け高精度電波環境推定手法の検討,” 信
学技報, SR2019-18, May 2019.
【3】山崎悠大, 藤井威生, 田久修, 太田真衣, 安達宏一, “スペクトラムデータベースを活用した LPWA 向け周波数共用手法の検討,” 信学技報, vol.119,
no.62, SR2019-10, pp.63-68, May 2019.
【4】小林隆一, 大槻樹矢, 岡田拓也, 相葉孝充, 松浦基晴, “短距離光ファイバ無線におけるデジタル・アナログ電気重畳伝送,” 信学技報, vol.119, no.33,
OFT2019-5, pp.21-24, May 2019.
【5】岡田拓也, 小林隆一, 松浦基晴, “量子ドット半導体光増幅器内の周波数チャープを用いた光 D/A 変換,” 信学技報, vol.119, no.33, OFT2019-6, pp.25-28,
May 2019.
【6】矢澤諒, 上山大輔, 松浦基晴, “光ファイバ給電式ドローンの可搬能力に関する検討,” 信学技報, vol.119, no.33, OFT2019-14, pp.61-64, May 2019.
【7】野本颯人, 上山大輔, 田嶋奈奈, 岡田拓也, 松浦基晴, “光ファイバ給電における給電光制御のための給電系の応答性評価,” 信学技報, vol.119, no.33,
OFT2019-15, pp.65-68, May 2019.
【8】谷口匠, 稲葉敬之, “多周波ステップレーダ MIMO ドップライメージングにおける人工蜂コロニー法を用いたスパース素子配列最適化,” 信学技報, vol.119,
no.28, AP2019-12, pp.65-70, May 2019.
【9】稲葉敬之, 秋田学, 芝隆司, “多周波ステップ CPC レーダによる小落下物検知,” 信学技報, vol.119, no.26, WBS2019-7, pp.35-40, May 2019.
【10】稲葉敬之, 谷口匠, 秋田学, “多周波ステップレーダの人工蜂コロニー法を用いた周波数多重化の基礎検討,” 信学技報, vol.119, no.26, WBS2019-6,
pp.29-34, May 2019.
【11】秋田学, 稲葉敬之, “再帰的波形減算周波数推定法を前処理とした多周波ス
テ ッ プ レ ー ダ に お け る 近 接 角 度 分 離 法 ,” 信 学 技 報 , vol.119, no.26,
WBS2019-8, pp.41-45, May 2019.
【12】高橋新, 田久修, 藤井威生, 大槻知明, 笹森文仁, 半田志郎, “低信頼中継
局への安全性を確保する過負荷 Wireless MIMO Switching 法,” 信学技報,
vol.119, no.90, RCS2019-50, pp.79-83, Jun. 2019.
【13】西尾勇樹, 田久修, 征矢隼人, 太田真衣, 藤井威生, 笹森文仁, 半田志郎,“ランデブチャネル完了確率を満たすスレーブの選択チャネルの最適設計,”
信学技報, vol.119, no.90, RCS2019-51, pp.85-89, Jun. 2019.

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【14】斎藤吏玖, 高橋一成, 安達宏一, “電力領域における非直交多元接続を考慮した基地局スリープアルゴリズムに関する研究,” 信学技報, vol.119, no.90,
RCS2019-57, pp.119-124, Jun. 2019.
【15】陳慕穎, 安達宏一, “LoRaWAN における複数 GW 受信時の拡散率選択法に関する研究,” 信学技報, vol.119, no.90, RCS2019-58, pp.125-130, Jun. 2019．
【16】川上純平, ルンバントルアンヘンドリック, 安達宏一, “NOMA を用いる UAV
リレー通信に適した通信プロトコルの検討,” 信学技報, vol.119, no.90,
RCS2019-59, pp.131-136, Jun, 2019.
【17】岡部亮, 追永大, 尾形駿, 石橋功至, “確率的電力制御を用いた非正則繰り
返しスロット化 ALOHA のエネルギー効率を考慮した設計に関する一検討,”
信学技報, vol.119, no.90, RCS2019-87, pp.291-296, Jun. 2019.
【18】廣澤直也, 石橋功至, “環境発電を用いた 2 ユーザ多元接続通信路に対する情報鮮度最小化に関する一検討,” 信学技報, vol.119, no.90, RCS2019-88,
pp.297-302, Jun. 2019.
【19】原郁紀, 石橋功至, “ベクトル近似メッセージ伝播法を用いたグラントフリ
ー多元接続のための伝播路推定および信号検出法,” 信学技報, vol.119,
no.90, RCS2019-96, pp.347-352, Jun.2019.
【20】大畠知之, 石橋孝一郎, 孫光鎬, “ドップラーレーダを用いた連続非接触血圧測定,” 日本生体医工学会, 那覇, Jun. 2019.
【21】夏目康平, 藤井威生, 田久修, 太田真衣, “無線物理量変換におけるデータ
相 関 を 活 用 し た 情 報 収 集 法 ,” 信 学 技 報 , vol.119, no.109, SR2019-63,
pp.221-226, Jul. 2019.
【22】飯盛寛貴, 石橋功至, アブレウ ジュゼッペ, “下り電力領域 NOMA 伝送のためのロバストビームフォーミング設計に関する一検討,” 信学技報, vol.119,
no.109, SR2019-25, pp.37-42, Jul. 2019.
【23】原郁紀, 石橋功至, “上り回線グラントフリー多元接続のためのブースト近似メッセージ伝播法,” 信学技報, vol.119, no.109, SR2019-26, pp.43-48,
Jul. 2019.
【24】G. Ying and T. Fujii, “Reputation-Based Spectrum Sensing Strategy in
Cognitive Radio Sensor Networks,” 信学技報, vol.119, no.109, SR2019-28,
pp.51-57, Jul. 2019.
【25】山本健一郎, 田久修, 安達宏一, 藤井威生, 太田真衣, “スペクトラムセン
シングとパケット解析を併用した HMM による無線環境の推定法,” 信学技報,
vol.119, no.109, SR2019-47, pp.149-150, Jul. 2019.
【26】神尾明典, 田久修, 太田真衣, 藤井威生, 笹森文仁, 半田志郎, “無線 LAN の
隠れ端末状態における MCS 制御を利用した性能改善評価,” 信学技報,
vol.119, no.109, SR2019-45, pp.145-146, Jul. 2019.
【27】山本健一郎, 田久修, 藤井威生, 安達宏一, 太田真衣, “スペクトラムセン- 42 -

シングとパケット解析を併用した HMM による無線環境の推定法,” 信学技報,
vol.119, no.109, SR2019-47, pp.149-150, Jul. 2019.
【28】成枝秀介, 藤井威生, 梅林健太, “[依頼講演] IoT 統合モニタリングシステ
ムの研究開発,” 信学技報, vol.119, no.176, RCS2019-172, pp.129-129, Aug.
2019.
【29】成枝秀介, 藤井威生, 梅林健太, “[依頼講演] キャリアセンス付き LoRa ネッ
トワークのための拡散率割当法に関する検討,” 信学技報, vol.119, no.166,
SRW2019-17, pp.25-28, Aug. 2019.
【30】原郁紀, 石橋功至, “上り回線グラントフリー非直交多元接続のための一般化 ブ ー ス ト 近 似 メ ッ セ ー ジ 伝 播 法 ,” 信 学 技 報 , vol.119, no.176,
RCS2019-148, pp.13-18, Aug. 2019.
【31】矢吹亘, 井田次郎, 森貴之（金沢工大）, 石橋孝一郎（電通大）, 新井康夫（高エネルギー加速器研究機構）, “急峻な SS を持つ"PN Body-Tied SOI-FET"における BOX の中の正電荷と基板バイアスの影響,” ICD（集積回路研究会）, 札
幌, Aug. 2019.
【32】山田拓弥, 井田次郎, 森貴之, 安丸暢彦, 伊東健治（金沢工大）, 石橋孝一郎（電通大）, “極急峻な SS を持つ"PN-Body Tied SOI-FET"を使った極低電力
カレクテナ,” ICD（集積回路研究会）, 札幌, Aug. 2019.
【33】舟山空良, 山尾泰, “可動金属体を用いたビームスキャン繰返し送信による920MHz 帯静止状態 RFID の読取り率改善法,”信学ソ大, B-1-19，Sept. 2019.
【34】高橋一成, 安達宏一, “Affinity Propagation を用いた基地局動作決定に関する研究,” 信学ソ大, B-5-15, Sept. 2019.
【35】阿部友希, 山尾 泰, “送受信機の非線形を一括補償するブラインド受信非線形補償法,”信学ソ大, B-5-20，Sept. 2019.
【36】永井淳, 阿部友希, 山尾泰, “ブラインド受信非線形補償による下りリンク
NOMA の EVM 改善効果,”信学ソ大, B-5-23，Sept. 2019.
【37】H. Lumbantoruan and K. Adachi, “Outage Probability Analysis of Sensor
Nodes Served by Multi-antenna UAV-BS,” 信学ソ大, B-5-55, Sept. 2019.
【38】相原直紀, 安達宏一, 田久修, 太田真衣, 藤井威生, “LoRaWAN における深層
強化学習を用いた直交リソース割り当て法における報酬値の影響に関する検討,” 信学ソ大, B-5-80, Sept. 2019.
【39】野中敏希, 藤井威生, 田久修, 太田真衣, “層型擬似二部グラフによる
E-IRSA のレプリカ送信回数の最適化,” 信学ソ大, B5-81, Sept. 2019.
【40】天野直哉, 田久修, 藤井威生, 太田真衣, 笹森文仁, 半田志郎, “一括集約型無線センサネットワークにおける姿勢制御への応用,” 信学ソ大, B15-15,
Sept. 2019.
【41】神尾明典, 田久修, 太田真衣, 藤井威生, 笹森文仁, 半田志郎, “一括集約型無線センサネットワークにおける高密度データ分離を実現する送信制御- 43 -

法,” 信学ソ大, B17-22, Sept. 2019.
【42】髙木裕貴, 長谷川直輝, 太田喜元, 石川亮, 本城和彦, “スプリアス抑圧回路を用いた高効率ドハティ増幅器,” 信学ソ大, C-2-1, Sept. 2019.
【43】T. Fujii “Smart Spectrum for 5G and beyond,” 2019 Russia-Japan Joint
Microwave and Telecommunication Workshop, Saint Petersburg, Russia, Sept.
2019.
【44】石橋功至, “グラントフリー非直交多元接続: モノのインターネット時代におけるランダムアクセス,” 革新的無線通信技術に関する横断型研究会（MIKA）, Oct. 2019.
【45】原郁紀, 石橋功至, “ベクトル近似メッセージ伝播法を用いたグラントフリ
ー非直交多元接続の理論解析,” 信学技報, vol.119, no.244, RCS2019-179,
pp.7-12, Oct. 2019.
【46】阿部友希, 山尾 泰, “送受信機の非線形を一括処理するブラインド受信非線
形 補 償 の 効 果 と そ の 詳 細 ,” 信 学 技 報 , vol.119, no.296, RCS2019-208,
pp.37-42，Nov. 2019.
【47】舟山空良, 山尾 泰, “可動金属体を用いたビームスキャンと繰返し読出しの併用による RFID 読取り率改善法－静止状態 920MHz 帯 RFID への適用例－,”信学技報, vol.119, no.296, RCS2019-214, pp.67-72, Nov. 2019.
【48】青木いりあ, 小野哲, 和田光司, “ヘアピン共振器で構成した積層サスペン
デッドマイクロストリップ線路共振器を用いた BPF の基板加工機による製作に関する検討,” 超高速・高周波エレクトロニクス実装研究会 令和元年度第3 回公開研究会, vol.19, no.3, Nov. 2019.
【49】谷口匠, 秋田学, 稲葉敬之, “79GHz 帯における干渉波帯域を考慮したスパー
ス周波数分割アダプティブレーダの基礎検討，” 信学技報, vol.119, no.316,
SANE2019-72, pp.11-16, Nov. 2019.
【50】宮﨑大知, 稲葉敬之, “再帰的信号減算周波数推定法における目標数推定の基礎検討,” 信学技報, vol.119, no.316, SANE2019-71, pp.5-10, Nov. 2019.
【51】M. Musashi and K. Adachi, “[Poster Presentation] Spectrum Database Aided
Prior Vacant Frequency Band Detection for Spectrum Sharing,” in Proc.
IEICE SmartCom 2019, New Jersey, USA, Nov. 2019.
【52】N. Aihara, K. Adachi, O. Takyu, M. Ohta, and T. Fujii, “[Poster
Presentation] Reinforcement Learning Aided Orthogonal Frequency
Allocation in LoRaWAN,” in Proc. IEICE SmartCom 2019, New Jersey, USA,
Nov. 2019.
【53】Y. Hatada and T. Fujii, “Receiver Beacon Transmission Interval Design
Using Machine Learning for Multi-Stage Wireless Sensor Networks in Proc.
IEICE SmartCom 2019, New Jersey, USA, Nov. 2019.
【54】H. Nakajo and T. Fujii, “Adaptive Band and Power Control for Spectrum- 44 -

Shared Mobile Systems,” in Proc. IEICE SmartCom 2019, New Jersey, USA,
Nov. 2019.
【55】F. Aizawa and T. Fujii, “A Study of Hidden Node Discrimination Method
using Wireless LAN Packets,” in Proc. IEICE SmartCom 2019, New Jersey,
USA, Nov. 2019.
【56】A. Kamio, O. Takyu, T. Fujii, and M. Ohta, “Channel Assignment andDifferential Data Transmission in Physical Wireless Parameter Conversion
Sensor Network,” in Proc. IEICE SmartCom 2019, New Jersey, USA, Nov.
2019.
【57】Y. Nishio, O. Takyu, H. Soya, M. Ohta, T. Fujii, F. Sasamori, and S. Handa,“Performance evaluation of rendezvous channel by e-greedy method withlearning type occupancy under misdetection,” in Proc. IEICE SmartCom
2019, New Jersey, USA, Nov. 2019.
【58】R. Sugimoto, O. Takyu, K. Adachi, Mai Ohta, Takeo Fujii, “Evaluation ofradio propagation characteristics with Various Antenna High for 920MHz
frequency sharing,” SmartCom 2019, New Jersey, USA, Nov. 2019.
【59】上杉遥司, 片桐啓太, 佐藤光哉, 稲毛契, 藤井威生, “信号電力分布クラス
タリングによる低容量スペクトラムデータベース,” 電子情報通信学会超知性ネットワーキングに関する分野横断型研究会（RISING）, Nov. 2019.
【60】H. Lumbantoruan and K. Adachi, “[ポスター発表] Array Antenna for Power
Saving of Sensor Nodes in UAV-BS Enabled WSN,” 電子情報通信学会超知性
ネットワーキングに関する分野横断型研究会（RISING）, Nov. 2019.
【61】相原直紀, 安達宏一, 田久修, 太田真衣, 藤井威生, “[ポスター発表]
LoRaWAN における強化学習を用いた周波数チャネル割り当て手法,” 電子情報通信学会超知性ネットワーキングに関する分野横断型研究会（RISING）, Nov.
2019.
【62】西尾勇樹, 田久修, 征矢隼人, 太田真衣, 藤井威生, 笹森文仁, 半田志郎,“学習型占有率測定を用いた ε-greedy 法による誤検出を含むランデブチャ
ネル法の評価,” 電子情報通信学会超知性ネットワーキングに関する分野横
断型研究会（RISING）, Nov. 2019.
【63】Y. Hatada and T. Fujii, “Receiver Beacon Transmission Interval Design
Using Machine Learning for Multi-Stage Wireless Sensor Networks,” 電子情報通信学会超知性ネットワーキングに関する分野横断型研究会（RISING）,
72, Nov. 2019.
【64】岡田拓也, 小林隆一, 汪瑞, 相楽昌希, 松浦基晴, “半導体光増幅器を用いた全光アナログ・デジタル相互変換,” 電子情報通信学会超知性ネットワーキ
ングに関する分野横断型研究会（RISING）, Nov. 2019.
【65】矢澤諒, 神藤夏季, 松浦基晴, “光ファイバ給電で駆動する空中無線基地- 45 -

局,” 電子情報通信学会超知性ネットワーキングに関する分野横断型研究会（RISING）, Nov. 2019.
【66】吉田剛, 石川亮, 本城和彦, “低しきい値エンハンスメント型 GaAs HEMT を用いたゲートスイッチング方式微小電力整流器,” 信学技報, vol.119, no.292,
MW2019-103, pp.19-24, Nov. 2019.
【67】瀬下拓也, 高山洋一郎, 石川亮, 本城和彦, “高調波処理を含めた二入力電力レベル最適化による高効率 GaN HEMT ドハティ増幅器,” 信学技報, vol.119,
no.292, MW2019-106, pp.35-39, Nov. 2019.
【68】髙木裕貴, 長谷川直輝, 太田喜元, 石川亮, 本城和彦, “スプリアス抑圧回路とインピーダンス変換回路に T 型スタブを用いた高効率ドハティ増幅器,”
信学技報, vol.119, no.292, MW2019-107, pp.41-46, Nov. 2019.
【69】三宅久之助, 斉藤昭, 鈴木博, 石川亮, 本城和彦, “円形ループアンテナを用いた OAM 通信における抵抗設置による干渉波抑制,”信学技報, vol.119,
no.292, MW2019-111, pp.65-70, Nov. 2019.
【70】ムンフツォグ ムンフズル, 石橋孝一郎, “RF エネルギーハーベスティング向
け DCDC コンバータの検討,” 電子情報通信学会 デザインガイア, 松山, Nov.
2019【71】追永大, 尾形駿, 石橋功至, “受信信号電力に基づくグラントフリー非直交
多 元 接 続 の た め の フ レ ー ム レ ス ALOHA,” 信 学 技 報 , vol.119, no.262,
SR2019-84, pp.51-51, Nov. 2019.
【72】原郁紀, 石橋功至, “ベクトル近似メッセージ伝播法を用いたグラントフリ
ー非直交多元接続の理論解析,” 信学技報, vol.119, no.296, RCS2019-211,
pp.49-54, Nov. 2019.
【73】追永大, 尾形駿, 石橋功至, “ZigZag 復号器を用いた符号化 ALOHA に関する研究,” 情報理論とその応用シンポジウム 2019, pp.233-238, Nov. 2019.
【74】原郁紀, 石橋功至, “近似メッセージ伝播法に基づいた低計算量グラントフ
リー非直交多元接続,” 情報理論とその応用シンポジウム 2019, pp.323-328,
Nov. 2019.
【75】高橋龍平, 原郁紀, 石橋功至, “超低電力通信のための OFDM 既知信号を用いた遅延シフトキーイングとその最適復調法,” 情報理論とその応用シンポジ
ウム 2019, pp.423-428, Nov. 2019.
【76】飯盛寛貴, 石橋功至, アブレウ・ジュゼッペ, “離散入力制約に基づく線形
MMSE フィルタ設計,” 情報理論とその応用シンポジウム 2019, pp.581-586,
Nov. 2019.
【77】福榮秀都, 飯盛寛貴, 石橋功至, アブレウ ジュゼッペ, 高山茂, “パイロッ
ト汚染下におけるマルチセル Massive MIMO のための協調型パイロット系列設計,” 情報理論とその応用シンポジウム 2019, pp.587-592, Nov. 2019.
【78】池内剛, 田久修, 藤井威生, 大槻知明, 笹森文仁, 半田志郎, “ゲーム理論- 46 -

的戦略による低信頼中継局を用いた PLNC の安全性評価,” 信学技報, vol.119,
no.325, SR2019-88, pp.15-22, Dec. 2019.
【79】宮本直, 片桐啓太, 藤井威生, “LTE/5G と異システム間の周波数共用のための高度を考慮した電波伝搬推定法,” 信学技報, vol.119, no.325, SR2019-89,
pp.23-24, Dec. 2019.
【80】上杉遥司, 片桐啓太, 藤井威生, “構造物情報を考慮した受信電力マップ予測手法の初期検討,” 信学技報, vol.119, no.325, SR2019-90, pp.25-26, Dec.
2019.
【81】宮本太郎, 成枝秀介, 藤井威生. 梅林健太, 成瀬央, “屋内環境での各フロ
アにおける 920MHz 帯 LoRa 電波伝搬測定結果,” 信学技報, vol.119, no.325,
SR2019-95, pp.45-46, Dec. 2019.
【82】天野直哉, 田久修, 藤井威生, 太田真衣, “一括集約型無線センサネットワ
ークにおける姿勢制御アプリケーションでのスロット数を抑えた送信法の検討,” 信学技報, vol.119, no.325, SR2019-96, pp.47-48, Dec. 2019.
【83】片桐啓太, 藤井威生, “統計学的仮説検定に基づく電波環境マップ更新手法に関する一検討,” 信学技報, vol.119, no.325, SR2019-104, pp.87-94, Dec.
2019.
【84】阿部哲久, 藤井威生, “周波数共用のための CQI 情報を用いたプライベートモ
バイルネットワーク向け動的帯域幅割当,” 信学技報, vol.119, no.325,
SR2019-107, pp.109-115, Dec. 2019.
【85】成枝秀介, 藤井威生, 梅林健太, “Unslotted ALOHA 方式を用いた省電力 LoRa
ネットワークのための拡散率割当法の検討,” 信学技報, vol.119, no.325,
SR2019-110, pp.131-136, Dec. 2019.
【86】永井 淳, 阿部友希, 山尾 泰, “下りリンク NOMA の EVM に対するブラインド
受信非線形補償の改善効果,” 信学技報, vol.119, no.345, RCS2019-263,
pp.139-144, Dec. 2019.
【87】原郁紀, 石橋功至, “OFDM に基づいたグラントフリー非直交多元接続のためのアクティブユーザ検出および伝播路推定に関する一検討,” 信学技報,
vol.119, no.345, RCS2019-237, pp.1-5, Dec. 2019【88】高橋一成, 安達宏一, “セルラーネットワークにおける Affinity Propagationに基づく基地局動作決定手法,” 信学技報, vol.119, no.345, RCS2019-240,
pp.19-24, Dec. 2019.
【89】石橋功至, “ランダムアクセスの新たな潮流：理論から実装まで,” IoT 時代
におけるスマートスペクトラムとその応用研究会, Dec. 2019.
【90】大比良和哉, 石橋功至, “離散値ベクトル再構成のための高速反復縮退アル
ゴリズムを用いた一括圧縮サブキャリア IQ インデックス変調,” 信学技報,
vol.119, no.378, RCS2019-313, pp.279-284, Jan. 2020.
【91】原郁紀, 石橋功至, “アップリンクグラントフリー非直交多元接続のための- 47 -

キャリア周波数オフセット存在下におけるアクティブユーザ検出に関する一
検討,” 信学技報, vol.119, no.378, RCS2019-319, pp.313-317, Jan. 2020.
【92】荻久保暖香, 小野哲, 和田光司, “BST バラクタを装荷した非対称ヘアピン型
共振器を用いた結合係数調整が容易なチューナブル BPF とその分波回路への応用,” 信学技報, vol.119, no.400, CAS2019-89, pp.131-136 Jan. 2020.
【93】古谷佳祐, 小野哲, 和田光司, “不要モード抑制を目的とした EBG 構造における等価回路の高精度化及び小型 PRGW 構造 BPF の設計に関する検討,” 信学技報, vol.119, no.400, CAS2019-96, pp.163-168, Jan. 2020.
【94】相原直紀, 安達宏一, 田久修, 太田真衣, 藤井威生, “LoRaWAN における教師なし外部干渉検出及び無線リソース再割当て手法,” 信学技報, vol.119,
no.378, RCS2019-275, pp.57-62, Jan. 2020.
【95】谷口匠, 秋田学, 稲葉敬之, “超広帯域多周波ステップ方式の合成帯域における距離ゲート内サイドローブに関するパラメータスタディ,” 信学技報,
SANE2019-85, vol.119, no.405, pp.7-10, Jan. 2020.
【96】秋田学, 稲葉敬之, 谷口匠, “多周波ステップ方式に基づく非同期スパース
周波数分割多重化法におけるレーダ間干渉に関する一考察,” 信学技報,
SANE2019-84, vol.119, no.405, pp.1-6, Jan. 2020.
【97】成枝秀介, 藤井威生, 梅林健太, “LoRa ネットワークにおけるエンドデバイ
ス生存期間拡張のための拡散率割当法の検討,” 信学技報, vol.119, no.423,
CAS2019-116, pp.105-110, Feb. 2020.
【98】T. Fujii, “Dynamic spectrum sharing based on spectrum database for 5G
and beyond,” 2020 Japan and Finland Joint Workshop on Emerging
Technologies in 5G and Beyond, Oulu, Finland, Feb. 2020.
【99】阿部友希, 山尾 泰, “マルチビット Δ-Σ 変調器を用いた高ダイナミックレ
ン ジ DSP チ ャ ー プ レ ー ダ 送 受 信 機 ,” 信 学 技 報 , vol.119, no.416,
SANE2019-97, pp.1-6, Feb. 2020.
【100】渡部颯人, 阿部友希, 山尾 泰, “ミスマッチドフィルタ受信による OFDM 通
信 ・ レ ー ダ 統 合 シ ス テ ム の 基 本 検 討 ,” 信 学 技 報 , vol.119, no.416,
SANE2019-98, pp.7-12, Feb. 2020.
【101】追永大, 石橋功至, “端末の幾何学的配置構造を利用した非正則フレームレ
ス ALOHA,” 信学技報, vol.119, no.436, SeMI2019-124, pp.65-70, Mar.
2020.
【102】村上隆秀, 新保宏之, 塚本優, 難波忍, 岸洋司, 玉井森彦, 横山浩之, 原郁紀, 石橋功至, 津田顕祐, 藤井義巳, 安達文幸, 葛西恵介, 中沢正隆, 関裕太, 外山隆行, “多様なサービス要求に応じた高信頼な高度 5G ネットワーク
制御技術の研究開発,” 信学技報, vol.119, no.448, RCS2019-320, pp.1-6,
Mar. 2020.
【103】原郁紀, 石橋功至, “アップリンクグラントフリー非直交多元接続の伝送効- 48 -

率評価,” 信学技報, vol.119, no.448, RCS2019-325, pp.31-36, Mar. 2020.
【104】谷津崚太, 石橋功至, “パケットアグリゲーションに基づく高効率暗号化後圧縮技術,” 信学総大, A-2-7, pp.28, Mar. 2020.
【105】佐々木亮輔, 舟山空良, 山尾 泰, “電気的な指向性制御による 920MHz 帯
RFID の読取り率改善法,” 信学総大, B-1-20，Mar. 2020.
【106】斉藤昭, 三宅久之助, 石川亮, 本城和彦, “円形ループアンテナアレイの端子方位制御による通過アイソレーション改善,” 信学総大, B-1-86, Mar.
2020.
【107】菊池晴貴, 斉藤昭, 三宅久之助, 和田渉, 鈴木博, 石川亮, 本城和彦,“OAM 多重通信に用いるループアンテナアレイの集積化の検討,” 信学総大,B-1-87, Mar. 2020.
【108】三宅久之助, 斉藤昭, 鈴木博, 石川亮, 本城和彦, “ループアンテナを用いた OAM 多重通信における抵抗装荷による干渉波抑制,” 信学総大, B-1-88,
Mar. 2020.
【109】三上智史, 安達宏一, “モバイルエッジコンピューティングシステムにおけるユーザスケジューリング手法の検討,” 信学総大, B-5-18, Mar. 2020
【110】山田翼, 阿部友希, 山尾 泰, “IF 帯サブナイキスト A-D 変換された信号の受信非線形補償の検討,” 信学総大, B-5-33，Mar. 2020.
【111】伊藤弘樹, 阿部友希, 山尾 泰, “メモリ非線形のモデル解析と受信後非線形補償効果の検討,” 信学総大, B-5-34，Mar. 2020.
【112】新保宏之, 岸洋司, 横山浩之, 石橋功至, 藤井義巳,中沢正隆, 外山隆行,“多様なサービス要求に応じた高信頼な高度 5G ネットワーク制御技術の研究開発,” 信学総大, B-5-58, pp.346, Mar. 2020.
【113】石橋功至, “ナノエリア環境のための新たな無線アクセスアーキテクチ
ャ,” 信学総大, B-5-64, pp.352, Mar. 2020.
【114】岡部亮, 石橋功至, “5G 高度化のための不完全通信路推定と確率的遮蔽を考慮した複数基地局連携ロバストビームフォーミングに関する一検討,” 信学
総大, B-5-65, pp.353, Mar. 2020.
【115】高橋新, 田久修, 藤原洋志, 藤井威生, 大槻知明, “負荷 Wireless MIMO
Switching における 4 アンテナ中継局を介した 5 端末間の安全な情報交換の最適送信順序,” 信学総大, B-5-76, Mar. 2020.
【116】蕪木碧仁, 相原直紀, 安達宏一, 田久修, 太田真衣, 藤井威生, “IoT における送信タイミングの自律分散的制御法の検討,” 信学総大, B-5-121, Mar.
2020.
【117】相原直紀, 安達宏一, 田久修, 太田真衣, 藤井威生, “LoRaWAN における外部 干 渉 検 知 シ ス テ ム に お け る 学 習 パ ラ メ ー タ 再 初 期 化 ,” 信 学 総 大 ,B-5-122, Mar. 2020.
【118】チャルーンスックブンパシット, 相原直紀, 安達宏一, “他システムへの干- 49 -

渉を考慮した LoRaWAN の送信制御法の検討,” 信学総大, B-5-167, Mar.
2020.
【119】小林拓弥, 安達宏一, “Wireless Powered Mobile Edge Computing における確率的バイナリーオフロードの検討,” 信学総大, B-5-168, Mar. 2020.
【120】夏目康平, 藤井威生, “実観測温度データを用いた空間補間センサ選択法の検討,” 信学総大, B-15-31, Mar. 2020.
【121】中野隼輔, 稲毛契, 藤井威生, “TD-LTE の周期構造を用いた混合信号からの一次ユーザ検出手法,” 信学総大, B-17-8 , Mar. 2020.
【122】武藏美保, 安達宏一, “空き周波数リソース事前探知に関する検討,” 信学
総大, B-17-9, Mar. 2020.
【123】畑田優希, 藤井威生, “メッシュネットワークにおける Q-Learning を活用した受信機ビーコン送信間隔決定法の検討,” 信学総大, B-17-31, Mar. 2020.
【124】西尾勇樹, 田久修, 征矢隼人, 太田真衣, 藤井威生, “誤検出と誤警報を考慮したランデブチャネル法の評価 ,” 信学総大, B-17-32, Mar. 2020.
【125】見舘空椰, 山崎悠大, 藤井威生, 成枝秀介, “IoT ネットワークにおける無線通信方式選択手法の検討,” 信学総大, B-17-33, Mar. 2020.
【126】片桐啓太, 藤井威生, “無線分散ネットワークにおけるシャドウイング分類器を用いたスペクトラムデータベース構築法の検討,” 信学総大, B-17-35,
Mar. 2020.
【127】佐藤光哉, 稲毛契, 藤井威生, “電波マップの周波数-空間補間に関する検討,” 信学総大, B-17-37, Mar. 2020.
【128】小林岳, 田久修, 安達宏一, 太田真衣, 藤井威生, “チャープ復調を利用した干渉電力推定法の提案,” 信学総大, B-17-43, Mar. 2020.
【129】和田渉, 石川亮, 斉藤昭, 三宅久之助, 菊池晴貴, 鈴木博, 本城和彦,“OAM 多重通信と無線電力伝送を同時に実現する共用ループアンテナ,” 信
学総大, B-20-15, Mar. 2020.
【130】髙木裕貴, 長谷川直輝, 太田喜元, 石川亮, 本城和彦, “T 型スタブを用いた低スプリアス・高効率非対称ドハティ増幅器,” 信学総大, C-2-5, Mar.
2020.
【131】小笠原遼一, 髙山洋一郎, 石川亮, 本城和彦, “3.9 GHz 帯小型合成回路によるアウトフェージング増幅器,” 信学総大, C-2-6, Mar. 2020.
【132】石井岳人, 中丸靖崇, 水谷浩, 石川亮, 本城和彦, “900MHz 帯/4.5GHz 帯
2x2 次元切替スイッチの開発,” 信学総大, C-2-11, 2020-3.
【133】山崎純, 石川亮, 本城和彦, “ゼロ閾値 GaAs HEMT を用いた広ダイナミック
レンジ整流器,” 信学総大, C-2-21, Mar. 2020.
【134】熊谷慎也, 石橋孝一郎, “低電力温度センサーRF TAG の特性,” 信学総大
学生ポスターセッション, Mar. 2020.
【135】吉川祐太, 石橋孝一郎, “LoRa を用いた Beat 方式ダストセンサ,” 信学総- 50 -

大 学生ポスターセッション, Mar. 2020.
【136】松村太郎, 小野哲, 和田光司, “チップ素子とパターン素子を用いた小型デュアルバンドフィルタの設計,” 第 34 回エレクトロニクス実装学会春季講
演大会論文集, 3B1-01, Mar. 2020.
【137】岡田拓也, 汪瑞, 相楽昌希, 松浦基晴, “半導体光増幅器内で発生する周波数チャープを用いた光デジタル・アナログ相互変換,” 信学技報, vol.119,
no.442, PN2019-66, pp.81-85, Mar. 2020.
【138】矢澤諒, 神藤夏季, 松浦基晴, “空中基地局に向けた光ファイバ給電を用いた無人航空機,” PN 研学生 WS, PN2020-STWS-1, Mar. 2020.
【139】中嶋将基, 小野哲, 和田光司, “金属シールド及びステップインピーダンス
共振器を用いたグラウンド付きコプレーナ線路で構成された 28GHz 帯 BPF,”
第 34 回エレクトロニクス実装学会春季講演大会論文集, 3B1-02, Mar. 2020.
【140】村上浩太郎, 小野哲, 和田光司, “インクジェットプリンタの使用を想定した平面フィルタの調整技術,” 第 34 回エレクトロニクス実装学会春季講演
大会論文集, 3P-04 Mar. 2020.
【141】村山豊, 小野哲, 和田光司, “分配率及び動作周波数可変特性を有する 1
GHz 帯 Gysel Power Divider に関する検討,” 34 回エレクトロニクス実装学会春季講演大会論文集, 3P-05, Mar. 2020.
【142】内田雄吾, 村山豊, 周威宇, 小野哲, 和田光司, “手作業での試作容易な線
路の折り曲げ箇所が少ない 2GHz 帯マイクロストリップ線路 WPD に関する検討,” 第 34 回エレクトロニクス実装学会春季講演大会論文集, 3P-06, Mar.
2020.
【143】神保雄祐, 村上浩太郎, 小野哲, 和田光司, “手作業による試作が容易かつ低挿入損失な 2GHz 帯折り曲げ型マイクロストリップ線路 WPD に関する検討,” 第 34 回エレクトロニクス実装学会春季講演大会論文集, 3P-07, Mar.
2020.
【144】前田真之介, 小野哲, 和田光司, “恒温槽を用いた一端開放および短絡回路の温度、湿度変化によって生じる影響の調査,” 第 34 回エレクトロニクス実装学会春季講演大会論文集, 3P-08, Mar. 2020.
【145】佐川守一, 牧本三夫, 小野哲, 和田光司, “BPF 構成を用いたチップレス
RFID タグの検討,” 2020 年電気学会全国大会, 4-150, Mar. 2020.
【146】神戸寛典, 田久修, 安達宏一, 太田真衣, 藤井威生, “無線 LAN における環
境価値の予測と電力制御の検討,” 信学技報, vol.119, no.449, SR2019-126,
pp.79-86, Mar. 2020.
【147】片桐啓太, 藤井威生, “周辺環境の変化を考慮した電波環境マップ更新手法,” 信学技報, vol.119, no.449, SR2019-132,pp.105-112, Mar. 2020.
【148】山崎修平, 田久修, 白井啓一郎, 藤井威生, 太田真衣, “一括集約型無線セ
ンサネットワークにおけるセンシング結果の勾配推定を用いたデータ分離- 51 -

法,” 信学技報, vol.119, no.449, SR2019-133, pp.113-118, Mar. 2020.
【149】鶏内あゆみ, 成枝秀介, 藤井威生, 梅林健太, 成瀬央, “920MHz 帯 LoRa ネットワークを用いた環境情報測定結果,” 信学技報, vol.119, no.449,
SR2019-141, pp.137-138, Mar. 2020.
シンポジウム講演【1】石川亮, “マイクロ波整流器の最新設計技術：帰還容量を利用したゲートスイ
ッチング方式トランジスタ整流回路,” Microwave Workshops & Exhibition(MWE 2019), WE3B-2, Nov. 2019.
【2】山尾泰, “我が国のダイナミック周波数共用の導入に向けた取組,”ダイナミ
ック周波数共用シンポジウム基調講演，三菱総合研究所，Nov. 2019.
【3】稲葉敬之, “超広帯域コヒーレントレーダ技術の研究開発（175003002），”ICTイノベーションフォーラム 2019
その他の講演
【1】T. Fujii, “Smart spectrum exploitation in current and future wirelesscommunication systems,” Panel in IWSS 2019, Apr., 2019.
【2】稲葉敬之, “超広帯域コヒーレントレーダ技術の研究開発,” 「戦略的情報通信研究開発セミナー」～ＳＣＯＰＥ成果発表＆ＩＣＴ研究の最新動向～,2019.
【3】和田光司, “ワイヤレス通信用の回路実現のおもしろさ！～超小型フィルタの実現～,” 電気通信大学 2019 年度 第１回ＵＥＣスクール[高大接続教室]講
演, Aug. 2019.
【4】T. Fujii, “Panel: 5G and Beyond Technologies for Ultra-dense
Environments: Perspectives and Key Challenges,” Panel in IEEE
VTC2019-Fall Workshop 5G and Beyond Technologies for Ultra-Dense
Environments, Honolulu, Hawaii, USA, Sept. 2019【5】酒井文則, 牧本三夫, 和田光司, “マルチモード SIR(Stepped Impedance
Resonator)を用いたチップレス RFID タグの研究,” 第 2 回先進アナログ技術研究会, Oct. 2019.
【6】 山尾泰, “電波・移動通信テクノロジーに育てられた 50 年,” 電波 COE 特別
企画セミナー・ATR オープンハウス講演, Oct. 2019.
受賞【1】小林隆一（松浦研）, 電子情報通信学会光ファイバ応用技術研究会 学生ポスタ
ー優秀賞, May 2019.
【2】岡田拓也（松浦研）, 電子情報通信学会光ファイバ応用技術研究会 学生ポスタ- 52 -

ー優秀賞, May 2019.
【3】矢澤諒（松浦研）, 電子情報通信学会光ファイバ応用技術研究会 学生ポスター
優秀賞, May 2019.
【4】大比良和哉（石橋（功）研）, 平成 30 年度 IEICE 無線通信システム(RCS)研究
会 活動奨励賞, May. 2019. (博士後期課程学生)【5】斎藤吏玖（安達研）, 2019 年度 RCS 研究会初めての研究会コンペティション最優秀賞受賞, Jun. 2019.
【6】山崎悠大（藤井研）, ICUFN SRIoT2019 Best Paper Award, July 2019.
【7】上杉遥司（藤井研）, IEEE VTS Tokyo Chapter Student Paper Award, Sept. 2019.
【8】周威宇（和田光司・小野哲研）, 電子情報通信学会マイクロ波研究会主催 2019年度学生マイクロ波回路設計試作コンテスト, 最優秀賞, Sept. 2019.
【9】内田雄吾（和田光司・小野哲研）, 電子情報通信学会マイクロ波研究会主催 2019年度学生マイクロ波回路設計試作コンテスト, 優秀賞, Sept. 2019.
【10】内田雄吾（和田光司・小野哲研）, 電子情報通信学会主催 MWE2019 アイデアソ
ン,優秀アイデア創出賞, Nov. 2019.
【11】片桐啓太（藤井研）, DySPAN2019 Best Demo Award, Nov. 2019.
【12】相原直紀（安達研）, 電子情報通信学会超知性ネットワーキングに関する分野
横断型研究会（RISING）優秀ポスター発表賞, Nov. 2019.
【13】APMC 2019 Prize In “Active Circuits”: T. Seshimo, Y. Takayama, R.
Ishikawa, and K. Honjo, “Harmonic-tuned high-efficiency GaN HEMT Doherty
power amplifier based on two-power-level impedance optimization,” 2019
Asia Pacific Microwave Conference, Dec. 12, 2019.
【14】飯盛寛貴（石橋（功）研）， 2019 年度 スマート無線(SR)研究会 研究奨励賞,
Mar. 2020. (博士後期課程学生)【15】原郁紀（石橋（功）研）， 2019 年度 スマート無線(SR)研究会 研究奨励賞, Mar.
2020. (博士後期課程学生)【16】谷津崚太（石橋（功）研）, 令和元年度目黒会賞, Mar. 2020.（学部学生）【17】追永大（石橋（功）研）, 令和元年度目黒会賞, Mar. 2020.（博士前期過程学生）【18】大槻樹矢（松浦研）, 電子情報通信学会フォトニックネットワーク研究会 PN
研若手研究賞, Mar. 2020.
【19】相原直紀（安達研）, 令和元年度学長表彰（研究活動）, Mar. 2020.
【20】斎藤吏玖（安達研）,令和元年度学長表彰（研究活動）, Mar. 2020.
【21】蕪木碧仁（安達研）,令和元年度学長表彰（課外活動）, Mar. 2020.
【22】阿部友希（山尾研）, 令和元年度学長表彰（研究活動）, Mar. 2020.
【23】高橋龍平（石橋（功）研）, 令和元年度学長表彰（研究活動）, Mar. 2020.
【24】追永大（石橋（功）研）, 令和元年度学長表彰（研究活動）, Mar. 2020.
【25】原郁紀（石橋（功）研）, 令和元年度学長表彰（研究活動）, Mar. 2020.

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【26】大比良和哉（石橋（功）研）, 令和元年度学長表彰（研究活動）, Mar. 2020.
特許【1】三宅久之助, 斉藤昭, 本城和彦, 石川亮，
「アンテナシステムおよびアンテナ」，
日本国，特願 2019-198601，2019 年【2】山尾 泰, 舟山空良, 「無線読取装置，指向性調整装置および無線読取方法」，
日本国，特願 2019-100311，2019 年【3】稲葉敬之, 浅野晃, 坪田光, 秋田学,「列車速度検出装置及び列車速度検出方法」, 台湾, I666463，2019 年 07 月 21 日
【4】有吉正行, 村岡一志, 藤井威生, 「無線通信システム、無線通信方法および無線機」, 欧州（ドイツ, イギリス, フランス, スウェーデン他）, EP2237588,
2019 年 8 月 21 日
【5】田久修, 折内皆人, 笹森文仁, 半田志郎, 藤井威生, 「無線通信における端末
識別方法および端末識別装置」, 日本国, 特許第 6578613 号, 2019 年 9 月 6日【6】稲葉敬之, 渡辺一宏, 秋田学, 「目標検知装置, 目標検知方法及びプログラム」,
特願 2019-239505, 日本国, 2019 年 12 月 27 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」, 日本国, 特願 2020-031593, 2020 年 2 月 27 日.

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