Advanced Wireless & Communication
Research Center

Message from the Director, Prof. Yasushi Yamao
Twelve years have passed since Advanced WirelessCommunication Research Center (AWCC) was establishedin the University of Electro-Communications (UEC). For
the years, AWCC has been aiming and conducting four
missions that are;-

Dedicationtoadvancedresearchonwireless

communications; offering more unique results.
- Education in graduate school for cultivating specialty inengineering; 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.
Two years ago, AWCC created a new vision, “Ambient Wireless in Connected Community (AWCC)”,and changed its name to “Advanced Wireless & Communication Research Center”. With the new
vision and the new name, AWCC intends to cover broader research area including not only wirelesscommunications 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 in AWCC.
(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
system is being developed in the world. The 5G system introduces new usage of frequency spectra
called multi-band multi-access, higher accuracy and flexibility are required by for the innovated RF
hardware. Also, wireless power transfer is another hot and important topic.
(3) Advanced Wireless System & Networks
AWCC has 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, 16 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.
Furthermore, the center will open a new remote research office in UEC Alliance Center from
April 2017 to enhance joint research projects with industry and overseas universities. This-2-

remote office has a common discussion space with high-quality video conference system, an
experiment space with general instruments, and two personal workspaces for visiting
researchers. Moreover, its infrastructure is completely integrated with AWCC computing andnetwork resources.

1.3. PEOPLE【Director, 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). Now he is the director of 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 (20032004), 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 (20162017) and the Vice chairman of IEEE VTS Japan chapter (2009-2015).

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【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 IEICE.

【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.

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【Full time Associate Prof. Koichi Adachi】
Koichi Adachi received the B.E., M.E., and Ph.D. degrees in engineeringfrom Keio University, Japan, in 2005, 2007, and 2009 respectively. 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.

【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.

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【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.

.

【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).

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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.

【Concurrent Associate 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 an Associate Professor with the Graduate School of Informatics andEngineering, Department of Communication Engineering and Informatics, University of ElectroCommunications. His research interests include optical signal processing, photonic subsystems,
and radio-over-fiber transmission systems. He is the author or coauthor of more than 180 papers
published in international refereed journals and conferences. He received the Ericsson Young
Scientist Award in 2008, the FUNAI Information Technology Award for Young Researcher in
2009, and the Telecommunication System Technology Award of the Telecommunications
Advancement Foundation in 2011. He is a member of IEEE, OSA, and IEICE.

【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.
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【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.
Prof. Xi Zhang, Ph.D.
Prof. Cong-Kha Pham, 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.
【Cooperative Professors from Industry】
Prof. Kunio Uchiyama (Hitachi Ltd.)
Prof. Yukihiko Okumura (NTT Docomo R&D)
Prof. Yoji Kishi (KDDI Research Inc.)
Prof. Isamu Chiba (Mitsubishi Research Institute Inc.)
Prof. Eisuke Fukuda (Fujitsu Laboratory Ltd.)
Prof. Hideki Hayashi (Softbank Corp.)
Prof. Yukitsuna Furuya (WiTLa)
Prof. Kenji Yoshida (GM Holdings Inc.)-8-

2. Research Activities
2.1. Division of Wireless Technologies as Social Infrastructure
2.1.1. Purpose of Research
Wireless technologies will have more importance in the society as the base of safe, secureand smart life for individuals and community. Various types of machine to machinecommunication such as sensors, IoT devices and vehicular communications will spread in thesociety taking little notice but support safety and secureness of society, as well as creating more
comfortable and smarter life. The goal is to develop such technologies.

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

2.1.3. Major Research Outcomes in 2017(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 for suchenvironments are pursued. This work was supported by the Ministry of Internal Affairs andCommunications (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 sufficient by studying
only vehicular communication issues, but necessary to discuss and collaborate with theresearchers who study automated vehicle control and stand-alone sensors on the vehicles.
Therefore we established a project with related members to such subjects and collaborate on the
Grants-in-Aid for Scientific Basic Research A, “Basic Research for Integrated AutomatedDriving System combining Stand-Alone Sensors and Cooperation by vehicle communications.”[Field Test of Creating Spectrum Environment Map for V2V Comminutions] (Fujii Lab.)
Our laboratories have studied creating radio environment database for mobility
environment of not only receivers but also transmitters. Figure 2.1-1 shows the system model.
In order to construct and evaluate the proposed database, we had filed test in an actual V2V(Vehicle to Vehicle) environment during three days from Jan. 5th to 7th, 2017, by using threevehicles at the location of Chofu-shi and Mitaka-shi, Tokyo. Each vehicle had transceiverstandardized as ARIB STD-T109 and the received power and location information were recorded.
After the measurement campaign, we evaluated the accuracy of the proposed database by using
Root Mean Squared Error (RMSE). First, the measurement data observed in the day 1 and day
2 are statistically averaged in each 2m, 5m, and 10m mesh on a SQL server and the averaged
received power is obtained in each transmitter and receiver locations. The data observed in the
day 3 are treated as the instantaneous received power, and we calculated RMSE from thedifference between the averaged received power and the instantaneous received power. For thecomparison, we evaluated the estimation accuracy by using fitted path loss model, ITU-R P.1411,-9-

Two-ray path loss, and Okumura-Hata model. Figure 2.1-2 shows the RMSE characteristics.
The RMSE of the fitted path loss model, ITU-R P.1411, Two-ray path loss, Okumura-Hata modelare 5.546 [dB], 5.670 [dB], 12.340 [dB] and 13.700 [dB], respectively. On the other hand, theRMSE of the proposed database are 4.241 [dB] at 2m mesh, 4.210 [dB] at 5m mesh and 4.489[dB] at 10m mesh. From the above results, we can conclude that accurate received power canbe predicted by using the measurement-based radio environment database in V2V
communication systems. The proposed database will enable to improve the communication
efficiency in future V2V communications.
14
Okumura-Hata

RMSE [dB]12

Two-ray path loss

10
8
ITU-R P.1411

6

Fitted path loss

4
2
2

Figure 2.1-1 Radio environment database.

Constructed database4

6
8
Mesh size [m]10

Figure 2.1-2 Mesh size versus RMSE.

[Multiple Antenna Successive Interference Cancellation for V2V Communication] (Fujii Lab.)We have improved the reliability of V2V communications by using multiple antenna SIC(Successive Interference Cancellation). In V2V communications, broadcast CSMA/CA (Carrier
Sense Multiple Access with Collision Avoidance) is adopted as an access control scheme to avoid
collision. However, when communication traffic increases, multiple signals from multiple
vehicles collide and thus communication reliability decreases. One of the solutions to thisproblem is simultaneous transmission and reception with SIC, which is widely studied as atechnique to enable receivers to demodulate multiple signals from a mixed signal. However, SIC
is not successful when the difference of the received power between signals in a mixed signal issmall, e.g. when the hidden node problem occurs. In order to improve the SIC efficiency, we
propose a SIC with multiple directional antennas that emphasizes the received power difference
and thus improve the performance of SIC. We evaluate the proposed method through numericalsimulation to show the improvement of reliability in V2V communication. Figure 2.1-3 shows asimulation
P
scenario. Figure
2.1-4 shows thepacket error rate.
From this figure,
we can confirm P
P
that
SIC
efficiency
ofmulti-antenna
Psystemsis
improved
by,QWHUIHULQJ7[5[
7DUJHW7[%XLOGLQJ
22%.
Fig. 2.1-3 Simulation model.
Fig. 2.1-4 Packet error rate performance.

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[Network Coding Based Relay-Assisted V2V Communications] (Yamao Lab.)A reliable vehicle-to-vehicle (V2V) communication is essential for safe and highly automateddriving system. The use of roadside relay stations (RSs) has been studied to assist the V2V
communication and improve its reliability. However, its improvement is limited by possible
packet congestion at RSs. In order to mitigate the packet congestion at RSs, we proposed a
network coding based payload concatenation forwarding with a payload sorting and selection
algorithm (SR-V2VC/PCF-NC) shown in Fig. 2.1-5 (b). In the normal PCF scheme (a), RS storesthe received V2V payloads in a single queue and concatenates payloads to generate a relaying
packet. In the proposed PCF-NC scheme (b), all vehicle stations (VSs) are divided into G groups
and payloads of VSs from each group are stored in the corresponding queue. For example, if astreet-based grouping method is adopted, G can be set to the number of streets at the intersection.
We consider an urban environment with multiple intersections as shown in Fig. 2.1-6. Fig. 2.1-7
shows the broadcast packet delivery rates (BPDRs) of the three V2V schemes. The former scheme,
sectorized receiving V2V communication with payload combine forwarding (SR-V2VC/PCF) has
improved BPDR up to 83% at the intermediate point by mitigating the effect of HT andcompensating shadowing loss, compared with direct V2V communication (D-V2VC). However,the newly proposed SR-V2VC/PCF-NC scheme provides BPDR of higher than 90% for all
locations of T-VS. This shows the effectiveness of the proposed scheme.
A
Queue
▪▪ ▪

D

C

B

A

▪▪ ▪

A

Q

▪▪ ▪

B

Q

▪▪ ▪

C

Q

▪▪ ▪

D

RS

B

▪▪▪ D

Q

RS

B

D
C

A

D

NC payload block

B A

; bitwise XOR A  B B  C C  D
operationC

P ayload of relaying packet header(P CF scheme)C▪▪▪

P ayload of relaying packet(P CF-NC scheme)

header(a) PCF scheme(b) PCF-NC scheme
Fig. 2.1-5 Operations of normal PCF scheme and PCF-NC scheme using a street-based grouping method.
1200 mV2

BPDR

1200 m…

…

6…

SR-V2VC/PCF

0.8

…

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5

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RS6

SR-V2VC/PCF-NC

0.9

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V3

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300 m

V1

0.7

D-V2VC

0.6

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20 m

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Building
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H3

4-sector
receiving antenna

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VS
Evaluated TVS
RS

…

300 m

…

RS5

0.4
-300 -250 -200 -150 -100 -50 0

RS6

50 100 150 200 250 300

Location of T-VS on horizontal road (m)…

Fig. 2.1-6 Nodes layout of urban area for simulation.

- 11 -

Fig. 2.1-7 Average packet delivery rate from VS

[Error Correcting Codes for Low-Latency Robust V2V Communications] (Koji Ishibashi Lab.)We have investigated error correcting codes
for automated cooperative-driving systems. In
F.Y. 2015, we studied the decoding performanceof various state-of-the-art error correcting
codes, e.g., binary and non-binary low density
parity check (LDPC) codes and signal codes. In
F.Y. 2016, we proposed new LDPC-codedhierarchical modulation with backward
compatibility to exchange additional safety
information among vehicles. In F.Y. 2017, we
proposed a practical information delivery
protocol named asynchronous dissemination
Fig. 2.1-6 Packet loss rate performance of ADDC
protocol based on distributed coding, in shortand conventional HEED.
ADDC. To further enhance the safety of
automated driving systems, vehicles should know precise information around them such as roadcondition, lane information, and so on. Roadside units (RSUs) can be used to gather suchinformation. However, it results in high cost to install a lot of RSUs to provide services everywhere.
Wireless sensor networks (WSNs) is a judicious option to realize such services since sensors are muchcheaper and much easier to be installed. Conventional studies have proposed transmission protocols
which realize energy-efficient information distribution to moving vehicles by assuming that
information packets to be transmitted are ideally shared among sensors, where the assumption is
obviously impractical. As a practical protocol, we considered to utilize a beacon and short-period
reception to form a partially-synchronized network to broadcast a new packet, so that new packets
are efficiently shared among sensors with minimum overhead. Then, shared packets are broadcasted
to vehicles using Luby-transform codes. Figure 2.1-6 depicts the packet loss rate (PLR) performanceof ADDC and a conventional information delivery protocol named HEED, where the horizontal axis
denotes the sleep probability of sensors. It is observed that ADDC achieves lower PLR than HEED
when the sleep probability is small. The result confirms that roadside information can be delivered toautomated driving vehicles, achieving high reliability.

(B) Radar Signal Processing[Vehicle Onboard Radar] (Inaba Lab.)In the application of automotive radar, radar is expected to obtain the angle of the target. It
is also hoped to be robust to mutual coupling between elements and to have a tolerance to thecalibration errors that exists in the actual measurements. We proposed the angle estimation in
the stepped multiple frequency CPC (SMFCPC) radar. The angle estimation method consists ofthe combination of 1-D Super Resolution (SR) and Blocking Matrix (BM) plus mono-pulse angle
estimation. The method is expected to work in the situation where the targets have same velocity
and are located on very close range which is comparable to the range resolution. Both random
and bias errors of angle by proposed method are smaller than those of conventional method (2-D
SR method) in the experiments. By proposed method, two targets could be identified in the cases
where we could not separate the two targets by 2-D SR (Fig.2.1-7). The results also indicatedthat proposed method has a tolerance to the calibration errors that exists especially in antenna
elements in the actual measurements.

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We have been developing a method to improve
the range resolution by expanding thetransmission bandwidth by coherent signal
processing using measured data of SMFCPC
radar operated in separated bands (Fig.2.1-8). It
is expected that this technique avoids theincrease of a hardware load and the degradationof the detectable range, which generally becomea problem by the expansion of the transmission
bandwidth. We proposed the iterative range
estimation method, which is Coherently
CombiningSparse-Multiband
processing(CCSM). We also show the simulation results
using 8 separated frequency bands data where
the two targets are separated with 0.042m that isequivalent to the range resolution oftransmission bandwidth. Signal to Noise (S/N)
ratio of observation data is set to be 30dB. The
standard deviation of range estimations are also
obtained as 0.003 for two targets (Fig.2.1-9).
Narrow band

Ultra-wide band

SMFCPC Radar1
Band1

SMFCPC Radar2
Band 2CCSM

TargetDetection(a)Target 2
19.488m

Target 1
19.684m(b)
Target 2
1.2degTarget 1-0.9degFig.2.1-7 Range and angle estimation result((a) Range estimation by 1-D SR, (b) Angle
estimation by mono-pulse angle estimation).

15
10

…

5
SMFCPC Radar N

Band NSMFCPC: stepped multiple frequency Complementary Phase Code

0
19.95

target 1
target 2

20

20.05

20.1

Estimated Range [m]CCSM: Coherently Combining Sparse-Multiband processing

Fig.2.1-8 Concept of Coherently Combining Sparse-

Fig.2.1-9 Concept of Coherently Combining Sparse-

Multiband processing (CCSM) for a high resolution.

Multiband processing (CCSM) for a high resolution.

2.1.4. Funds【Grants-in-Aid for Scientific Research】
1.
2.

Scientific Research A “Research on New Transmission Technologies based on Lattice
Structures for Next-Generation Ultra-High Data-Rate Communications”
Y. Yamao, T. Fujii, T. Inaba, S. Obana, T. Ogitsu (Gunma Univ.)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【Commissioned Research】
1.

Strategic Information and Communications R&D Promotion Program (SCOPE), “R & D of
Ultra-wide band coherent radar technology”
T. Inaba and M. Akita- 13 -

【Cooperative Research】
1.

“Development and monitor run test of the train speed meter of middle range radar”
T. Inaba and M. Akita

2.
3.
4.

“Research on Marine Radar signal processing”
Y. Yamao“Improvement in recognition rate of RF IDs”
Y. Yamao“Research on Communications Technology for Machine Tools”
K. Adachi and Y. Yamao【Other Funds】
1.

2.

3.

4.

5.

6.

Toyota Info-Technology Center USA Unrestricted Research Fund, “Reliable Vehicular
Communications using SIC”
T. Fujii
DENSO Corporation, “Comparative investigation of millimeter wave radar modulation forautomotive”, Academic consulting
T. Inaba
Kyosan Electric Mfg. Co., Ltd., “Improvement of radar target detection performance”,
Academic consulting
T. Inaba
DENSO Corporation, “Program of evaluation of automotive radar modulation”, Patent
Number 5704552), License agreement
T. Inaba
DENSO Corporation, “Program of generation of interference data”, Patent Number 5704552,
License agreement
T. Inaba
Kyosan Electric Mfg. Co., Ltd., “Program of target tracking”, License agreement
T. Inaba- 14 -

2.2 Division of Advanced Hardware Research
2.2.1 Purpose of Research
Research and development of wireless information/power transmission hardware for next
generation mobile phone base stations and terminal devices

2.2.2 Research Staffs and Their Specialties
Prof. Y. Yamao
Prof. Koichiro Ishibashi
Prof. K.Wada
Associate Prof. R. Ishikawa
Associate Prof. M. Matsuura
Visiting Prof. K. Honjo
Visiting Prof. Y. Takayama
Visiting Prof. A. Saitou(Reconfigurable RF Circuit, Nonlinear Compensation)(Low Power RF Devices, Sensor Networks)(Microwave circuits)(Microwave/Millimeterwave Devices and Circuits)(Wideband RoF Systems, Devices, Fibers and Integration)(Microwave Engineering, Semiconductor Devices)(Microwave Power Amplifier Systems)(Electro-Magnetic Wave Engineering, Antennas)

2.2.3 Major Research Outcomes in 2017（Ａ）Multi-Band Multi-Access Wireless Hardware for 5G System[Concurrent Multi-Band High-Efficiency Low-Distortion Amplifier]（Ishikawa Lab.）We have proposed and realized a novel power amplifier system to achieve high-efficiency lowdistortion concurrent dual-band amplification for low SHF (4.5 GHz band) and high SHF (8.5
GHz band), where two harmonic reactive termination GaN HEMT amplifiers and two diplexer
circuits are systematically combined to suppress harmonic signals and inter-modulation andcross-modulation signals. For high SHF amplifiers, novel 2-Watt class GaN HEMT chip and low
loss alumina substrates have been newly introduced to improve the power efficiency at 8.5 GHz.
As a result, a power added efficiency of 63% was achieved at 8.48 GHz. For low SHF amplifiers,
to obtain the required wide bandwidth from 4.5 GHz to 4.9 GHz, two methods such as a bandswitched circuit technique using PIN diode, and a novel broadband fundamental/harmonicfrequency matching technique. For the former, a fabricated GaN HEMT amplifier (Fig. 2.2.1) has
achieved a maximum power-added efficiency of 57% and 66%, and a maximum drain efficiencyof 62% and 70% at 4.6 GHz and 5.0 GHz, respectively, with a saturated output power of 38 dBm,for each switched condition.
As the second trial version using low loss alumina substrates, a total power amplifier system
consisting of a low SHF 4-watt class GaN HEMT amplifier, a high SHF 2-Watt class GaN HEMT
amplifier, and two diplexers have been fabricated and tested (Fig.2.2.2). A measured power added
efficiency of 63% was achieved at 4.7 GHz and a measured power added efficiency of 60% was
obtained at 8.24 GHz. Excellent distortion characteristics concerning harmonic frequencies,
inter-modulation frequencies, and cross-modulation frequencies have been realized. These
results show the validity of the proposed concurrent power amplifier system for 5G systemapplications.

Fig. 2.2.1 A 4.5-/4.9-GHz band selective GaN HEMT HEMT
high-efficiency power amplifier using PIN switches.

- 15 -

Fig. 2.2.2 Concurrent dual-band GaN HEMT
power amplifier

[Dual-bad Reconfigurable Bandpass Filter ]（Yamao Lab.）For more flexible and efficient use ofradio spectrum, reconfigurable RFdevices will play an important role in the
future wireless systems. In 5G,
concurrent operation of multiple RFbands is considered including new SHF
bands over wide frequency range. We
developed an SHF concurrent dual-band
bandpass filter (BPF) consisting of a lowSHF three-bit/eight frequencies (3.5–5GHz) reconfigurable BPF and a highSHF (8.5GHz) BPF, shown in Fig. 2.2.3.
It employs a direct parallel- connectedconfiguration of the two BPFs without
divider/combiner. Fig. 2.2.4 shows
prototype BPF and measured S21. The
BPF can switch eight low-SHF
passbands without affecting the highSHF BPF performance. The low insertion
losses below 2.0 dB are achieved for both
low-SHF and high-SHF frequencies.

Fig. 2.2.3 Dual-band Reconfigurable BPF.

0(a)

|S21| (dB)

-10
-20
-30
-40
-50

Solid : Measured
Broken : EM simulated

-60
2

4

6
Frequency (GHz)810

Fig. 2.2.4 Prototype Dual-band Reconfigurable BPF and measured S21.

[Nonlinear Compensation Techniques for Wideband RF Signal]（Yamao Lab.）In the fifth-generation (5G) mobile communication systems, RF bandwidth becomes very wide
to handle broadband signal transmission. A novel wideband digital predistortion (DPD)
technique that enables a simpler feedback circuit is proposed. The proposed Spectrum-Folding
Scalar Feedback (SF-SFB) method can reduce the number of analog to digital converter (ADC)
to only one in baseband while keeping its compensation bandwidth same as the conventional
method. DPD parameter determination algorithm has been modified to enable the scalar
feedback. To compare the performance of the proposed and conventional techniques, computer
simulations are conducted. The results show that they have the same performance in terms ofadjacent channel leakage power ratio (ACLR) and error vector magnitude (EVM). Experiments
using carrier-aggregated LTE signal with two component carriers are also conducted to validate- 16 -

the results. The proposed technique can provide high nonlinear compensation performance withlower circuit complexity.

IN

DPD

DAC

IQ
conversion

PA
Characteristic
Estimation&
DPD
Parameter
Determination

Coupler

RF

RF
OUT

PA
DAC

ADC
Feedback Circuit

Fig.2.2.5 Proposed SF-SFB digital predistorter.
Table. 2.2.1 Required Number of ADC andSampling rate.
SF-SFB

QuadratureIF

detection

Conversion

1

2

1

BW

BW

> 2BW

DPD

ADC
Min. Samplingrate

Conventional DPD

Fig. 2.2.6 Output Spectrum of twocarrier aggregated 20 MHz LTE（B） EVM evaluation on OAM Multiple Transmission System at 5.35 GHz (Ishikawa Lab.)We have demonstrated that the electro-magnetic wave propagation occurs with a single orbital
angular momentum (OAM) mode, when a current distribution of the azimuth angle -direction
for a circular loop antenna conductor contains only one Fourier expansion coefficient. Thiscondition almost retains at the loop antenna conductor length of nλ (n is the integer). Based on
this principle, we have successfully developed a coaxial four loop antenna array system in whichfour OAM modes can be generated and separated to individual ports with more than 10 dB
isolation. Using fabricated two coaxial loop antenna arrays with paraboloid reflectors, a four
multiplex transmission experiment was carried out at a distance of 1.5 m and a frequency of 5.3
GHz. Moreover, by using the fabricated OAM antenna, an EVM evaluation was carried out for a
1-cm short-range OAM communication, as shown in Fig. 2.2.7. For the evaluation, a 64
quadrature amplitude modulation (QAM) signal with a symbol rate of 75 MSymbol/s was used

Fig. 2.2.7

EVM and constellation characteristics for a fabricated OAM antenna.
- 17 -

to estimate an error vector magnitude (EVM). Less than 3% EVM was achieved between 5.3 and
5.4 GHz where the transmission isolation was more than 30 dB. In addition, Good constellation
characteristics were obtained, as shown in Fig. 2.2.7.

（C） Photonic Analog-to-Digital Conversions (ADCs) for RoF systems (Matsuura Lab)
Analog-to-digital conversion (ADC) is an important function to convert an analog signal into a
digital signal in any electronics and photonics systems. There are numerous applications, eachwith their corresponding resolution and sampling speed requirements. In particular, recent
demand for ADCs includes ultrawide-bandwidth applications such as digital coherent
communications. However, as ADCs in the electrical domain have significant bottlenecks such as
sampling jitter, ADCs in the all-optical domain, so called photonic ADCs (PADCs), have attracted
much attention as future ADCs with better quantization resolution and higher sampling speed
performance.
Semiconductor optical amplifiers (SOAs), including quantum-dot SOAs (QD-SOAs) are
attractive devices not only for optical amplification, but also for optical signal processing such as
wavelength conversion and optical demultiplexing. As the gain change in these devices gives rise
to refractive index changes, amplified signals experience temporal frequency chirp at the leading
and trailing edges of the signal pulses. Until now, we have observed these unique frequency chirp
properties induced by conventional SOAs and QD-SOAs, and shown that the peak value of the
red frequency chirp, in that the frequency was temporally shifted to longer wavelength (red) side,
had a strong dependence on the input signal pulse power. Moreover, it did not give rise to thepattern effect if the gain recovery time of the device was faster than the timeslot of data signals.
Therefore, we concluded that the red frequency chirp property could facilitate intensity-tofrequency conversion and be applied to optical quantization for PADCs.
Until now, there have been many reports on optical quantization using nonlinear effects in
optical fibers; such as soliton self-frequency shift, supercontinuum generation, self-phasemodulation, and nonlinear fiber loop mirrors-based cross-phase modulation. Although thesemiconductor-based, 4-level optical quantization has also been demonstrated using SOAs, thescheme consisted of cascaded optical logic gate circuits using SOAs. Since the speed is strictly
limited by the accumulated gain recovery times of the cascaded SOAs, it will therefore be difficult
to enhance the sampling speed. In addition, to increase the quantization level, a huge number of
optical logic gates will be required.
In this year, we have proposed a novel PADC scheme using red frequency chirp in a SOA or
QD-SOA. The actual scheme consists of a QD-SOA and multiple wave sharpers (WSs) located inparallel. We have investigated the quantization performance in detail. Moreover, we havesuccessfully demonstrated 10-GSamples/s, 8-level optical quantization, for the first time.

Fig. 2.2.8 8-level quantization performance- 18 -

2.2.4 Funds【Grants-in-Aid for Scientific Research】
1.
2.

3.

Grant-in-Aid for Scientific Research (C), “Microwave OAM Antenna”
A. Saitou
Grant-in-Aid for Scientific Research (C), “Reconfigurable RF Switch Based on a Metamaterial Technique
H. Mizutani, K. Honjo
Grant-in-Aid for Challenging Exploratory Research, “Research on 100 GSample/s Optical
Quantization Using quantum-dot semiconductor optical amplifiers”
M. Matsuura【Commissioned Research】
1.

2.
3.

4.

Ministry of Post, Telecommunication and Internal Affairs, “Research and Development for
5G Mobile Phone System”
Y. Yamao, K. Honjo, R. Ishikawa, A. Saitou, Y. Takayama
JST CREST, “Research on nW-Class Technology for Rectifier and Wireless Communication”
Koichiro Ishibashi, R. Ishikawa, Koji Ishibashi”
MIC, SCOPE, “Research and Development for Super Multiplexing OAM Communication
Using Loop Array Antennas”
A. Saitou, K. Honjo, R. Ishikawa
Ministry of Internal Affairs and Communications (MIC) of Japan, “Research andDevelopment for the realization of 5G mobile communication system”
Y. Yamao, K. Honjo, R. Ishikawa, A. Saitou, Y. Takayama【Cooperative Research】
1.
2.
3.
4.
5.
6.

SoftBank Group Corp. “Low Power Consumption Amplifier”
K. Honjo, R. Ishikawa
Sumitomo Electric Industries, Ltd. “MHz Harmonic Load-Pull Technique for GaN HEMT”
K. Honjo, R. Ishikawa
MoDeCH Inc. “Millimeter wave circuit design”
R. Ishikawa, K. Honjo
Cosel Co. Ltd. “EMI Technology for Switching Power Unit”
K. Honjo, R. Ishikawa“Research on Next generation Wireless Systems”
Y. Yamao
YAZAKI Corporation, “Analog and Digital Signal Transmission Using Multi-Mode Fibers”
M. Matsuura【Other Funds】
1.

SCAT Grant, “Optical Quantization Using Optical Frequency Shift in Quantum-Dot
Semiconductor Devices”
M. Matsuura- 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 bysustainable 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）
Associate Prof. Koichi Adachi (Future NW)
Associate Prof. Koji Ishibashi（Future NW, Distributed NW）
Associate Prof. Motoharu Matsuura（Future NW）

2.3.3 Major Research Results in 2017
[Data Offset Calibration Method for Spectrum Database using Crowd Sensing] (Fujii Lab.)In order to accurately estimate the radio environment for reliable communication, ameasurement based spectrum database by using crowd sensing has been attracted attention.
The measurement based spectrum database has to collect the huge amount of data from
distributed wireless sensors. If the highly accurate measurement sensors like spectrum
analyzer are used, the created database also has a good accuracy. However, the cost for setting
measurement sensors is very expensive and it is difficult to realize in the realistic situation.
Therefore, in this research, we focus on spectrum measurement by using communication
terminals like smart phone wireless LAN terminal and on board unit of V2V (Vehicle to Vehicle)
communications. However, the measurement data with these terminals contain individual
measurement offset and errors. In order to compensate these offset and errors, we propose ameasurement data offset calibration method using propagation parameter estimation andtransmit power estimation using EM algorithm. The system model is shown in Fig.2.3-1. Here,the estimation is proceeded in the following steps; path loss factor is estimated by using leastsquares method, fading effect reduction by using averaging in a meshed area, transmission
power estimation using EM algorithm, and offset component is estimated. Figure.2.3-2 shows
the RMSE (Root Mean Square Error) performance comparison between the result before thecalibration and that after the calibration.

Figure 2.3-2 RMSE of received
signal power.

Figure 2.3-1 System model[Mesh Clustering Method for Measurement based Spectrum Database] (Fujii Lab.)In order to recognize the spectrum environment for spectrum sharing, measurement based
spectrum database has attracted attention. The measurement based spectrum database collects- 20 -

the measurement received power data from communication terminals and statistical values likeaveraged received power are stored by spatial divided meshes. The small size of mesh can
improve the accuracy because locality of the spectrum information can be stored. However, small
mesh dramatically increases the total data size of storage. In this research, to decrease theconsumed storage size of spectrum database, we propose a mesh clustering methods my using
k-means algorithm and Gaussian mixture model (GMM) algorithm. Figure 2-3-3 shows aconcept of a mesh clustering considered in this research. Multiple meshes are clustered and thestored datasets are stored in each cluster instead of each mesh. The total data size can be
reduced because the number of clusters is less than the number of meshes for supporting thesame size area. We derive the simulation results by using the measurement data transmitted
from road side unit of a vehicle to infrastructure (V2I) communication system located at Odaiba,
Tokyo. The parameters of communication method are OFDM with 10MHz bandwidth at
760MHz. Figure 2-3-4 shows the results of route mean square error (RMSE) of the measurement
power compared with the conventional mesh data with different mesh size (10m and 1m) in thearea of 100m square. The number of database data of 10m and 100m mesh are 100 and 10000,
respectively. From this results, we can confirm that the performance of RMSE can be reduced
by using proposed clustering methods with smaller number of data.

Fig. 2.3-3

Concept of a mesh clustering

Fig. 2.3-4

RMSE of V2I system.

[Received Power Threshold and Reply Timing Controlled Reactive Routing Scheme] (Yamao Lab.)
Most of reactive ad hoc routing schemes establish
a route by using route request (RREQ) and route
reply (RREP) messages. In actual wirelessenvironments, however, route construction with thismethod is not always successful, nor is theestablished route stable. This paper analyses two
issues that prevent stable route establishment.
They are the packet collision of RREQ/RREP and thedecreaseofchannelcorrelation
between
RREQ/RREP. In order to overcome these problems,
an improved reactive routing scheme is proposedthat employs received threshold and reply timing
Fig. 2.3-5 RREQ/ RREP delivery rates andcontrol. The route construction performance for the
Rout Construction Probability.
proposed scheme is evaluated by network
simulation. The simulated results show that the proposed scheme can improve route construction
probability under fading environment with a small increase of route construction delay.

- 21 -

[Machine Learning Based Resource Allocation Scheme] (Adachi Lab.)
Packet delivery rate (PDR)

The demand for larger capacity in wireless1
Ideal CS information
communications is fast growing due to the rapid
0.8
spread of multimedia communications and social
0.6
networking services. Furthermore, the emerge ofM2M communications for IoT adds more demand
0.4
Proposed allocation
for larger capacity. Many wireless nodes need to
0.2
Random allocation
share the limited resources while achieving
Fix allocation
0
desired QoS. In order to achieve it, it is
2
3
4
10
10
10
Number of samples
mandatory to handle the deterioration of signal
Fig. 2.3-6 PDR performance as a function
due to the channel and the mutual interferenceof number of training samples.
between wireless nodes by means of advanced
techniques such are resource scheduling andspatial beamforming. However, these techniques require the accurate channel state information(CSI), which needs to be fed back from wireless nodes to the network controller. In order to avoid
the explicit CSI feedback, machine learning based resource allocation has been vigorously
studied. In this project, we focus on CSMA/CA, which is one of the random access schemes thatallow the wireless nodes access the channel while avoiding such mutual interferences. However,if carrier sense mechanism does not work, the packet collision may happen and this results inthe degradation of the packet delivery rate (PDR). We have propose an orthogonal resource
allocation scheme using machine learning. Whether the two wireless nodes are in the hidden
terminal relationship is an unobservable information from the network controller. Thus, by using
the machine learning approach, the wireless controller makes a guess of the unobservable
information from the observable information such as wireless node locations. Based on theestimated unobservable information, the wireless controller assigns orthogonal resources to thewireless nodes that are in the relationship of hidden terminal. As shown in Fig. 2.3-6, numericalevaluation elucidates that the proposed scheme can improve the PDR performance by 15%
compared to the system without resource allocation.
[Random Access Protocols for Massive Users] (Koji Ishibashi Lab.)
Slotted ALOHA system employing successiveinterference cancellation, named coded ALOHA, has beenstudied as an efficient random access scheme which
achieves remarkably high throughput performance.
Frameless ALOHA is a recently-proposed coded ALOHA
scheme, where users are given a transmission probability
with which they transmit their packet. Framelessstructure brought by probabilistic transmission enables
automatic adaptation to the channel traffic. Most of
conventional coded ALOHA schemes are designed only
considering medium access control (MAC) layer, but notphysical (PHY) layer. However, PHY layer should
significantly affects the throughput performance; forinstance,
captureeffectenhances
throughput Fig. 2.3-7 Throughput of coded
performance in practice. In 2017, we proposed a receivedframeless ALOHA.
power-aware design of transmission probability forframeless ALOHA. In this scheme, users with low received-power are given higher transmission
probability than users with high received-power. Specifically, users with low received-power- 22 -

increases their transmission probability by a given offset. Figure 2.3-7 shows throughput
performance of our proposed scheme. It is revealed that received-power-aware design canoutperform the conventional frameless ALOHA which is designed by MAC-layer based analysis.
Besides this new random access protocol, we proposed a general analysis of frameless ALOHA
with base-station cooperation and Zig-Zag decodable contention resolution diversity slotted
ALOHA (ZD-CRDSA) to further enhance the throughput performance. Those results have been
already submitted to IEEE journals and IEEE conferences.
[Simple Message-Passing MIMO Detector based on QR-Decomposition] (Koji Ishibashi Lab.)
Multi-input multi-output (MIMO) technique is aundoubtedly key enabler to support massive wirelessdata traffic in next generation wireless systems suchas 5G and beyond. The recent rise of massive MIMO
gains more attention to effective detection of MIMO
signals because of its inherent high complexity.
Although belief propagation (BP) and Gaussian BP(GaBP) have been actively studied in the literature
as efficient detection techniques. They suffer frominferior performances to maximum likelihood
detector (MLD) because loopy structure of factor
Fig. 2.3-8: BER performances ofgraphs. In 2016, we proposed QR-decomposedseveral MIMO detection techniques.
generalized belief propagation (QR-GBP) to improve
the performance while its complexity is comparable to MLD. In 2017, we have proposed a new
simple message-passing MIMO detector based on QR-decomposition named Edge-reduced QRGBP (ER-QR-GBP). This detection method can be considered as the reduced version of original
region graph constructed from the QR-decomposed channel matrix while its complexity issignificantly lower than original QR-GBP and MLD. Meanwhile the resulting calculation ismathematically identical to the MLD. Figure 2.3-8 shows bit error rate (BER) performances oforiginal BP with damping, MMSE-SIC, QR-GBP, QR-decomposed BP (QR-BP) with damping,
MLD, and proposed approach (ER-QR-GBP) where the number of transmitting and receiving
antennas is 8, respectively. As obvious from the figure, the performance of our proposed approachis identical to MLD while its complexity is lower than the MLD.
[Lattice Codes based on Repeat-Accumulate Codes] (Koji Ishibashi Lab.)
Signal codes have been proposed as a feasible
lattice coded modulation, which can operate channel
encoding and generate suitable modulated signal for
AWGN channel by signal processing filters. However,the conventional signal codes cost high-decoding
complexity. For this problem, we have proposed a newsignal code called repeat-accumulate signal code
(RASC), where low-complexity sum-product decoder
can be used to decode original signals. We have also
proposed Monte-Carlo density evolution (MC-DE) for
RASC since an asymptotic behavior of signal codes has
not been investigated. Figure 2.3-9 shows symbol error Fig. 2.3-9 SER Performance of RASC
rate performance of RASC compared with the compared with the conventional turbo
conventional turbo signal codes. Based on MC-DE, the signal codes. 1000 symbols are used fortransmission.
- 23 -

optimum filter coefficient can be found and its noise threshold is close about 1 dB to the channel
capacity. From our computer simulations, although the decoding complexity of RASC is quarteror less than that of turbo signal codes, the optimized RASC can close to the conventional turbo
signal codes about 0.2 dB in waterfall region. In addition, RASC can achieve better performancein error floor region.
[Optically powered transmission systems for optical access networks]（Matsuura Lab）
In future optical access networks, convergence of wired and wireless will provide multiple
services and simpler optical network management. For wired services, such as Fiber-to-theHome (FTTH), optical access systems based on passive optical networks using conventional
digital signals are widely employed. On the other hand, as for wireless services, radio-over-fiber(RoF) is an indispensable technology for transmitting RF signals into fiber links between central
office (CO) and remote antenna units (RAUs). Although digital signals are widely used in thecurrent RoF systems, the use of analog signals has a high potential for improving the datacapacity of RF signals and simplifying the configuration of RAUs.
In general, electrical power supply systems, which use external batteries and public powerlines, are required to drive remote units (RUs), such as optical network units (ONUs) and RAUs,
for optical access networks. However, as the number of RUs will dramatically increase in near
future, the capital and operating expenditures for the RUs will increase further, and simpler andcost-effective management for RUs will be required. Power-over-fiber (PWoF) is one of thepotential solutions for these problems because the use of PWoF enables centralization of theoverall power supply system in the CO. Recently, we have reported a PWoF transmission
technique using double-clad fibers (DCFs), which consisted of a single-mode (SM) core and amultimode (MM) inner cladding. We have achieved good transmission performance withnegligible power penalties in the bidirectional RoF transmission and the optically controlled
beam steering system. However, these demonstrations were based on single-channel, analog
signal transmission. In addition, the feed light was not yet converted into the electrical power,
which is required for driving RUs in actual systems.
In this year, we have demonstrated multichannel analog and digital signal transmission witha 60-W feed PWoF using a DCF, for future optical access networks. To obtain the electrical power
required for driving an RU, multiple high power photovoltaic converters (PPCs) with a maximum
input power of up to 10-W were employed. After investigating the performance of the PPCs, wehave evaluated the multichannel transmission performance with electrical power delivery by the
60-W feed PWoF, in terms of error-vector magnitude (EVM) of the analog signal and bit-errorrates (BERs) of the digital signals. As a result, we have successfully achieved good transmission
performances of the analog and digital signals under 60-W feed PWoF.

Fig. 2.3-10 EVM characteristics of ch.3 as afunction of total optical feed power.

Fig. 2.3-11 Power penalties to the back-toback signal of received digital signals at all
digital signal channels.

- 24 -

2.3.4 Funds【Grants-in-Aid for Scientific Research】
1. Scientific Research B “Research on Self Organized Propagation Model Generation based on
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 User Centric Wireless Communication using Traffic
Estimation and Environmental Cognition based on User Preference”
Takeo Fujii (PI belongs to other organization)
4. Scientific Research B “Research on Information Passing between Sensing Information Spaceand Physical Space for Dense Wireless Sensor Network”
Takeo Fujii (PI belongs to other organization)
5. Scientific Research B “Research on Advanced Wireless and Wired Harmonized SDN”
Takeo Fujii (PI belongs to other organization)
6. Scientific Research C “Research on New Multiple Access Control Technologies based on
Multi-Dimensional Graph Structure for Massive Users”
Koji Ishibashi
7. Scientific Research A “Research on New Transmission Technologies based on Lattice
Structures for Next-Generation Ultra-High Data-Rate Communications”
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)
9. Scientific Research B “Research on Optically Powered Radio-over-Fiber systems”
Motoharu Matsuura
10. Challenging Exploratory Research “Research on 100 GSamples/s Optical Quantization Using
Quantum-Dot Semiconductor Optical Amplifiers”
Motoharu Matsuura【Commissioned Research】
1. MIC SCOPE “Augmented Learning of Wireless Communication Environment for Forwarding
Frequency Spectrum Sharing”
Koichi Adachi (PI belongs to other organization)【Other Funds】
1. Support Center for Advanced Telecommunication Technology Research, Foundation“Research on optical quantization using optical frequency shift in quantum-dot
semiconductor device”
Motoharu Matsuura
2. KDDI Research Unrestricted Research Fund, “Future Mobile Communications”
Takeo Fujii- 25 -

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,
which become fundamentals for future wireless communication systems. We are investingsuch low power wireless technologies as super low power LSI design, energy harvesting
technology, power transfer technology by optical fiber, as well as low power networks bytheoretical 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）
Prof. Yasushi Yamao (Smart meters)
Prof. Takeo Fujii (Smart meters)
Associate Prof. Motoharu Matsuura (Radio over Fiber)
Associate Prof. Koji Ishibashi (Green network and communication theory)
Prof. Kunio Uchiyama (Application systems)

2.4.3 Major Research Outcomes in 2017
[Development of Beat Sensors]（Prof. Koichiro Ishibashi）
IoT Beat Sensors was proposed in 2015, where data acquired by sensors are transmitted asinterval times of ID signal (Fig. 2.4-1, 2.4-1-2). In 2017, we have successfully developed DC
current Beat Sensors, and Illumination Beat Sensors, as well as temperature and AC power Beat
Sensors. We have shown such many advantages of the Beat Sensors as low cost, low power, small
size and so on. The data recovery algorithm was also developed in 2017, thereby obtaining
substantially longer communication range of the Beat Sensors by 5 times as compared to theconventional IoT sensors (Fig. 2.4-2).

Success Probability / %Fig. 2.4-2 Temperature Beat sensor

100
80

30 m

60

110 m

40
W/

20

Data Recovery

W/O Data Recovery

0
0

25

50
75
100
Communication Distance / m

125

Fig. 2.4-1 Beat sensor concept Fig. 2.4-3 Long communication range by data recovery[Vital Data Acquisition by Doppler Rada]
The non-contact measurement of the respiration rate (RR) and heart rate (HR) using a Doppler
radar has been done. In this study, we propose a time-domain peak detection algorithm for the
fast acquisition of the RR and HR within a breathing cycle (approximately 5 s), including
inhalation and exhalation. The time domain peak-detection algorithm, based on the Doppler
radar, exhibited a significant correlation coefficient of HR of 0.92 and a correlation coefficient of
RR of 0.99, between the ECG and respiration band, respectively.

- 26 -

Figure 2.4-3 RR and HR acquired by Radar[Low-Power MAC Protocol for Energy Harvesting Sensor Networks]（Prof. Koji Ishibashi）
Undoubtedly, a key enabler of Internet-of-Things(IoT) is wireless sensor networks (WSNs), whichautonomously
andcontinuously
gatherenvironmental information from everything withwireless communication capability. Using energy
harvesting technologies, perpetual network is not a
fairy-tale anymore. However, due to the limitation of
sensor-size, typical energy harvesters cannot generatesufficient amount of electricity to run sensors withexisting wireless protocols for sensor networks such as
Figure 2.4-4: PLR performances of
ZigBee.
various MAC protocols.
To overcome this inherent difficulty, we proposed anovel medium access control (MAC) protocol named
energy-neutral receiver-initiated MAC (ENRI-MAC). In
this protocol, each sensor adaptively changes its own
intermittent interval depending on its average
harvested energy and the number of neighboring nodes.
Figure 2.4.3 shows the the packet loss rate (PLR) of the
proposed protocol, conventional one with fixedintermittent interval (IRDT), and conventional IRDTwith dynamic intermittent-interval. As obvious fromfigure, the proposed protocol decreases PLR by half
Figure 2.4.5: Fabricated sensor
compared with the conventional protocol.
node with EH capability.
Figure 2.4.5 shows our fabricated sensor node with
EH capability and multi-hop capability. We conducted experiments with this fabricated node andconfirmed that the PLR of our system is zero after the transmission of 200 packets whereas thatof conventional system is 10%. These results were presented at IEEE CCNC conference.
[ Wireless Sensor Network with Collision Resolution using Cloud Cooperation in Random AccessNetwork]（Prof. Takeo Fujii）
As the Internet of Things (IoT) gets more popular, the study of wireless sensor networks(WSNs) attracts more attention. WSNs consist of sensor nodes (SNs), observe the information
around, and fusion centers (FCs), gather the data from each SN. The application of IoT requires
a lot of SNs to manage the data from them. However, increasing the number of SNs may degrade- 27 -

[m]100
the quality of service(QoS), since the resources
50
used
in
the
communications between
SNs and FCs are finite. In0
our research, we propose arandom access network-50
adapting
three
types
(inter-slot, intra-slot and-100
inter-FCs) of successive
-100
-50
0
50
100
[m]
interference cancellation
Fig. 2.4-6 Node position model. Fig. 2.4-7 Simulation results.
and network MultipleInput and Multiple-output
method to enlarge the capacity of the network. We assumed an environment in which multiple
FCs are regularly and SNs are randomly located at 200×200["m"] as shown in Fig. 2.4-6. The
simulation results in Fig. 2.4-7 show that the proposed method can increase the number of SNs
which can send the data without degrading the QoS.

[Optically Powered RoF Systems for Future Optical Access Networks]（Matsuura Lab）
Power-over-fiber (PWoF) is a simple way to simultaneously transmit optical data and power
into optical fibers. In radio-over-fiber (RoF) networks, the use of PWoF is effectively used tocentralize the required power source in a central station (CS) and to deliver the feed light with
optical data signals in the same cables. As optical fibers are nonconductive power lines, unlike
electrical cables, PWoF is also useful for preventing lightning damage for the CS. In addition, a
few research groups have shown that the introduction of sleep mode power control of remoteantenna units (RAUs) offers up to 60% energy saving in the mobile networks. Therefore, if weare able to control the delivered power according to the data traffic in the link via PWoF, theoverall power in the network will be more efficiently reduced. On the other hand, as the electric
power required for driving a conventional femto-cell-type RAU is at least several watt-classes,
single-mode fibers (SMFs), which are most popular and widely used for optical fiber
communications, are not suitable for PWoF links. This is because simultaneous optical data
signals and feed light transmission in its small core area strictly limits the available feed light
power.
Multimode fibers (MMFs) are also widely used for optical fiber communications and arepractical candidates for PWoF links, because MMFs are pre-existing fibers without requiring alarge-scale deployment of new fibers, and have core area, which is much larger than that of the
SMFs. However, owing to the differential delay in the MMFs, it is difficult to increase thetransmission speed of MMF links. This is called “modal dispersion.” To solve this problem, anumber of approaches have been reported so far. In particular, center-launching (CL) and offsetlaunching (OL) techniques, which adjust the beam launching position of the input optical signal
into the MMF core, are widely used to restrict the modal excitation to either higher- or lowerorder propagation modes.
In this year, we present a novel method to simultaneously mitigate modal dispersion and feed
light crosstalk of the optical data signals by using a combination of CL and OL techniques in aconventional MMF. In this scheme, the CL technique is used for propagating the feed light into
lower-order modes in the MMF, while the OL technique is used for propagating optical data
signals into higher-order modes and mitigating the modal dispersion in the MMF. Moreover, thedifferent modal excitations and propagations play an important role in mitigating the crosstalk
between the signal and the feed light. Although the optical data signals and the feed light are- 28 -

not completely separated in space, the different modal propagation is effective in mitigating thecrosstalk. To show the feasibility, we have successfully demonstrated downlink and uplink RoF
transmissions with around 10-W feed PWoF over a conventional 4-km MMF, for the first time,to the best of our knowledge.

Fig. 2.4-8：EVM characteristics of downlink transmitted signals without (w/o) and with (w/) OL technique asa function of feed light power after (a) 2 km and (b) 4 km transmissions. Insets show constellations of backto-back and transmitted signals w/o and w/ OL technique.

2.4.4 Funds【Commissioned Research】
1

2

3

JST/CREST Scientific Innovation for Energy Harvesting Technology “Scavenging nW RF
energy using Super Steep Transistor and Meta-Material Antenna,”
Koichiro Ishibashi, Ryo Ishikawa, and Koji Ishibashi (The University of ElectroCommunications), J. Ida, S. Makino, and K. Itoh (Kanazawa Institute of Technology).
Grant-in-Aid for Challenging Exploratory Research, “Research on 100 GSample/s Optical
Quantization Using quantum-dot semiconductor optical amplifiers,”
M. Matsuura
Scientific Research B “Research on Optically Powered Radio-over-Fiber systems”
Motoharu Matsuura【Cooperative Research】
1

2“Researches on Energy Harvesting Power and its Application to Low-Power Data-Centric
Sensor Network Systems,”
Koichiro Ishibashi, Koji Ishibashi, and Cong-Kha Pham
“Optimization of Smart-Meter Networks”
Koji Ishibashi and Takeo Fujii- 29 -

3. List of Publications in F.Y. 2017
Journal Papers with Referees【1】

Le Tien Trien, Koichi Adachi, and Y. Yamao, “Network Coding Based Payload
Concatenation for Relay-Assisted V2V Communications”, IEICE Trans. Commun.
Express (Early Access).

【2】

Rei Hasegawa, Keita Katagiri, Koya Sato, and Takeo Fujii, “Low storage, but highly
accurate measurement-based spectrum database via mesh clustering,” IEICE Trans.
Commun., vol.E101-B, no.10, Oct. 2018 (in press).

【3】

征矢隼人, 田久修, 白井啓一朗, 太田真衣, 藤井威生, 笹森文仁, 半田志郎, “コグニティブ
無線における低複雑かつ高精度な占有率と遷移率測定法,” 信学論(B), vol.J101-B, no.2,
pp.133-145, Feb. 2018. (DOI: 10.14923/transcomj.2017GTP0010).

【4】

Le Tien Trien, Koichi Adachi, and Yasushi Yamao, “Packet Relay-Assisted V2V
Communication with Sectorized Relay Station Employing Payload Combining Scheme”,
IET Commun., vol.12, no.4, pp.458-465, Feb. 2018.

【5】

Le Tien Trien, Koichi Adachi, and Yasushi Yamao, “Efficient CSMA/CA packet relayassisted scheme with payload combining for ITS V2V communication”, J. of Information
Process., vol.26, pp.11-19, Jan. 2018.

【6】

Koya Sato, Kei Inage, and Takeo Fujii, “Frequency correlation of shadowing over TV
bands in suburban area,” Electron. Lett., vol.54, no.1, pp.6-8, Jan. 2018. (DOI:
10.1049/el.2017.2164).

【7】

Tatsuya Ohtsuki and Motoharu Matsuura, “Wavelength conversion of 25-Gbit/s PAM-4
signals using a quantum-dot SOA,” IEEE Photon. Technol. Lett., vol.30. no.5, pp.459462, Jan. 2018.

【8】

Shuang Fu, Guoyin Zhang, and Takeo Fujii, “A heuristic method-based parallel
cooperative

spectrumsensinginheterogeneous

network,”

The

JournalofSupercomputing, Jan. 2018. (DOI: 10.1007/s11227-018-2250-8).
【9】Hayao Kuboki and Motoharu Matsuura, “Optically powered radio-over-fiber system
based on center- and offset-launching techniques using a conventional multimode fiber,”
OSA Optics Letters, vol.43, no.5, pp.1057-1070, 2018.

【10】 Jun Enomoto, Ryo Ishikawa, and Kazuhiko Honjo, “Second Harmonic Treatment
Technique for Bandwidth Enhancement of GaN HEMT Amplifier With Harmonic
Reactive Terminations” IEEE Trans. Microw. Theory Technol., vol.65, no.12, pp.49474952, Dec. 2017.
【11】 G. Sun, N. V. Trung, T. Matsui, K. Ishibashi, Tetsuo Kirimoto, Hiroki Furukawa, Le Thi
Hoi, Nguyen Nguyen Huyen, Quynh Nguyen, Shigeto Abe, Yukiya Hakozaki, “Field
evaluation of an infectious disease/fever screening radar system during the 2017 dengue
fever outbreak in hanoi, vietnam: a preliminary report,” Elsevier Journal of Infection,
vol.75, no.6, pp.593-595, Dec. 2017.
- 30 -

【12】 Shigeru Hiura and Ryo Ishikawa, “Electrothermal Transient Analysis of GaN Power
Amplifier With Dynamic Drain Voltage Biasing,” IEEE Microw. Wireless Compon. Lett.,vol.27, no.11, pp.1019-1021, Nov. 2017.
【13】 小菅義夫, 古賀禎, 宮崎裕己, 呂暁東, 秋田学, 稲葉敬之, “高距離，高ドップラー分解能レーダにおける複数反射点目標の速度位置推定”, 信学論(B), vol.J100-B, no.11, pp.923-933,
Nov. 2017.
【14】 Tsukasa Yasui, Ryo Ishikawa, and Kazuhiko Honjo, “GaN HEMT DC I-V Device Modelfor Accurate RF Rectifier Simulation,” IEEE Microw. Wireless Compon. Lett., vol.27, no.
10, pp.930-932, Oct. 2017.
【15】 本城和彦, 高山洋一郎, “マイクロ波半導体回路研究の黎明期 -立体回路から平面トランジ
スタ回路へ-（招待論文）,” 信学論(C), vol.J100-C, no.10, pp.390-399, Oct. 2017.
【16】 Xu Zhu and Takeo Fujii, “Modulation classification for cognitive radios using stacked
denoising autoencoders.” Int. J. Satell. Commun. Network., vol.35, no.5, pp.517-531,
Sep./Oct. 2017 (DOI: 10.1002/sat.1202).
【17】 Takeo Fujii and Kenta Umebayashi, “Smart spectrum for future wireless world,” IEICE
Trans.

on

Commun.,vol.E100-B,

no.9,

pp.1661-1673,

Sep.

2017.(DOI:

10.1587/transcom.2016PFI0014) (Invited Paper).
【18】 Ryuhei Takahashi, Takayuki Inaba, Toru Takahashi, and Hirohisa Tasaki, “Digital
Monopulse Beamforming for Achieving the CRLB for Angle Accuracy”, IEEE Trans.
Aerosp. and Electron. Syst., vol.54, no.1, pp.315-323, Sep. 2017.
【19】 小菅義夫, 古賀禎, 宮崎裕己, 呂暁東, 秋田学, 稲葉敬之, “距離和とドップラー和を観測値とするマルチスタティックレーダによる位置及び速度推定,” 信学論(B), vol.J100-B, no.8,
pp.558-568, Aug. 2017.
【20】 Koji Kakinuma, Mai Ohta, Osamu Takyu, and Takeo Fujii, “Fusion center controlled
MAC protocol for physical wireless parameter conversion sensor networks (PHY-C SN),”IEICE Trans. on Commun, vol.E100-B, no.7, pp.1105-1114, Jul. 2017. (DOI:
10.1587/transcom.2016SCP0008).
【21】 Manh Duy Luong, Ryo Ishikawa, Yoichiro Takayama, and Kazuhiko Honjo “Microwave
Characteristics of an Independently Biased 3-stack InGaP/GaAs HBT Configuration,”
IEEE Trans. Circuits Syst. I, Reg. Papers, vol.64, no.5, pp.1140-1151, May 2017.
【22】 Tomokazu Moriyama, Taiki Nakayama, and Takeo Fujii, “Intermittent interval
feedback design for multi-stage wireless sensor networks,” Mobile Networks andApplications, Apr. 2017. (DOI: 10.1007/s11036-017-0859-0).
【23】 V. V. Mai, W.-Y. Shin, and K. Ishibashi, “Wireless Power Transfer for Distributed
Estimation in Sensor Networks,” IEEE J. Sel. Topics Signal Process. – Special Issue on
Cooperative Signal Process. for Heterogeneous and Multi-Task Wireless Sensor
Networks, vol.11, no.3, pp.549-562, Apr. 2017.
【24】 H. Kawabata, K. Ishibashi, S. Vuppala, and G. Abreu, “Robust Relay Selection for LargeScale Energy Harvesting IoT Networks,” IEEE J. Internet of Things, vol.4, no.2, pp.384- 31 -

392, Apr. 2017.

International Proceedings with Referees【1】

Daisuke Kamiyama, Akira Yoneyama, and Motoharu Matsuura, “Multichannel analog
and digital signal transmission with watt-class electrical power delivery by means of
power-over-fiber using a double-clad fiber,” in Proc. OFC 2018, M2K.7, San Diego, USA,
Mar. 2018.

【2】

Hayao Kuboki and Motoharu Matsuura, “Modal dispersion and feed light crosstalk
mitigations by using center- and offset-launching for optically-powered radio-overmultimode fiber systems,” in Proc. OFC 2018, Th2A.62, San Diego, USA, Mar. 2018.

【3】

Yusuke Shirasaki, Osamu Takyu, Takeo Fujii, Tomoaki Ohtsuki, Fumihito Sasamori,and Shiro Handa, “Consideration of security for PLNC with untrusted relay in gametheoretic perspective,” in Proc. IEEE RWS2018, Jan. 2018.

【4】

Tetsuya Noguchi, Osamu Takyu, Takeo Fujii, Tomoaki Ohtsuki, Fumihito Sasamori, andShiro Handa, “Secure information sharing with mirroring null steering throughuntrusted relay with two antennas,” in Proc. IEEE RWS2018, Jan. 2018.

【5】

Y. Goto and K. Ishibashi, “Practical Green Information Delivery Protocol for Sensor-toVehicle Communications,” in Proc. The 14th Annu. IEEE Consumer Commun. &Networking Conf., Las Vegas, NV., Jan. 2018

【6】

R. Tanabe, T. Kawaguchi, R. Takitoge, K. Ishibashi, and K. Ishibashi, “Energy-Aware
Receiver-Driven Medium Access Control Protocol for Wireless Energy-HarvestingSensor Networks,” in Proc. The 14th Annu. IEEE Consumer Commun. & Networking
Conf., Las Vegas, NV. , Jan. 2018【7】

T. Kawaguchi, R. Tanabe, R. Takitoge, K. Ishibashi, and K. Ishibashi, “Implementationof Condition-Aware Receiver-Initiated MAC Protocol to Realize Energy-Harvesting
Wireless Sensor Networks,” in Proc. The 14th Annu. IEEE Consumer Commun. &Networking Conf., Las Vegas, NV., Jan. 2018【8】

Takayuki Ojima and Takeo Fujii, “Resource Management for Mobile Edge Computing
Using User Mobility Prediction,” in Proc. IEEE ICOIN 2018, Chiang Mai, Thailand, Jan.
2018.

【9】

Shunsuke Tsurumi and Takeo Fujii, “Reliable Vehicle-to-Vehicle Communication Using
Spectrum Environment Map,” in Proc. IEEE ICOIN 2018, Chiang Mai, Thailand, Jan.
2018.

【10】 Hayato Soya, Osamu Takyu, Keiichiro Shirai, Fumihito Sasamori, Shiro Handa, Mai
Ohta, and Takeo Fujii, “Modified Rendezvous Scheme with Inferring Access Channel
Probability of Slave by Master,” in Proc. IEEE ICOIN 2018, Chiang Mai, Thailand, Jan.
2018.
【11】 Tetsuya Noguchi, Osamu Takyu, Fumihito Sasamori, Shiro Handa, Takeo Fujii, and- 32 -

Tomoaki Ohtsuki, “Transmit Control for Secure Information Sharing in Untrusted Relay
with Two Antennas,” in Proc. IEEE ICOIN 2018, Chiang Mai, Thailand, Jan. 2018.
【12】 Ryo Kurosawa, Osamu Takyu, Fumihito Sasamori, Shiro Handa, Mai Ohta, and Takeo
Fujii, “Experimental Study of Signaling with IFDMA Modulation and Nonlinear
Amplifying for Recovering Access Channel Mismatch,” in Proc. IEEE ICOIN 2018,
Chiang Mai, Thailand, Jan. 2018.
【13】 Yuki Kada and Yasushi Yamao, “Dual-Band SHF Reconfigurable Bandpass Filter Using
λ/4 Microstrip Resonators and Chip Inductor Coupling,” in Proc. of IEEE RWS2018,
MO3B-1, Jan. 2018.
【14】 Shuichi Obayashi and Takeo Fujii, “An OTA measurement setup considering humanbody shadowing effect for indoor millimeter link in specific floor environment,” in Proc.
IEEE CAMA2017, Dec. 2017.
【15】 Toshiyuki Shizuoka, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Multiband Hierarchical
Ad Hoc Network with Wireless Environment Recognition,” in Proc. APSIPA ASC 2017,
Kuala Lumpur, Malaysia, Dec. 2017.
【16】 A. D. Shigyo and K. Ishibashi, “QR-Decomposed Generalized Belief Propagation with
Smart Message Reduction for Low-Complexity MIMO Signal Detection,” in Proc.
APSIPA ASC 2017, pp.1795-1799, Kuala Lumpur, Malaysia, Dec. 2017.
【17】 Ernest Kurniawan, Peng Hui Tan, Koichi Adachi, and Sumei Sun, “Hybrid group paging
for massive machine-type communications in LTE networks”, in Proc. IEEE
GLOBECOM 2017, pp.1-6, Dec. 2017.
【18】 Ashim Khadka, Koichi Adachi, Sumei Sun, Junyuan Wang, Huiling Zhu, and Jiangzhou
Wang, “Cooperative transmission strategy over users' mobility for downlink distributed
antenna systems”, in Proc. IEEE GLOBECOM 2017, pp.1-6, Dec. 2017.
【19】 Xiaofeng Yang, Koichiro Ishibashi, Toshiaki Negishi, Tetsuo Kirimoto, and Guanghao
Sun, “Short Time and Contact-Less Virus Infection Screening System with Discriminate
Function Using Doppler Radar,” in Proc. BIC-TA 2017 Harbin, China, Dec. 2017【20】 Masahiro Hayashi and Yasushi Yamao, “Received Power Threshold and Reply Timing
Controlled Reactive Routing Scheme for Reliable Ad Hoc Network,” in Proc. APMC2017,
P2-N12, Dec. 2017.
【21】 Tatsuya Ute, Yuta Watanabe, Koya Sato, Takeo Fujii, Takayuki Shimizu, and Onur
Altintas, “High-Speed Data Dissemination over Device-to-Device Millimeter-Wave
Networks for Highway Vehicular Communication,” in Proc. IEEE VNC 2017, Torino,
Italy, Nov. 2017.
【22】 Alice Maruyama, Yoichiro Takayama, Ryo Ishikawa, and Kazuhiko Honjo, “Linearity
Improvement for Single-GaN HEMT Dual-Band Power Amplifier in Concurrent
Operation Mode,” in Proc. 2017 Asia Pacific Microwave Conference, THP1-P.12, Nov.
2017.
【23】 Ryohei Yamagishi, Hiroto Otsuka, Akira Saitou, Ryo Ishikawa, and Kazuhiko Honjo,- 33 -

“Improvement of Mode Uniqueness for OAM Communication Using Loop Array with
Reflector Plane,” in Proc. 2017 Asia Pacific Microwave Conference, TH2-B-04, Nov. 2017.
【24】 Akira Saitou, Hiroto Otsuka, Ryohei Yamagishi, Ryo Ishikawa, and Kazuhiko Honjo,“Analysis on Doubling Multiplicity for OAM Communication Using Loop Antenna
Arrays,” in Proc. 2017 Asia Pacific Microwave Conference, TH2-B-03, Nov. 2017.
【25】 Hiroto Otsuka, Ryohei Yamagishi, Akira Saitou, Ryo Ishikawa, and Kazuhiko Honjo,“High Performance OAM Communication Using Loop Antennas Optimized for Port
Azimuths,” in Proc. 2017 Asia Pacific Microwave Conference, TH2-B-02, Nov. 2017.
【26】 Ryohei Takitoge, Masataka Kishi, and Koichiro Ishibashi, “Low-Power Enhanced
Temperature Beat Sensor with Longer Communication Distance by Data-Recovery
Algorithm,” in Proc. IEEE SENSORS 2017, Glasgow, Scotland, Nov. 2017【27】 Suguru Habu, Caoyu Li, and Yasushi Yamao, “Spectrum-Folding Scalar-Feedback
Architecture for Wideband DPD with Simple Feedback Circuit,” in Proc. European
Microwave Conference 2017, pp.1054-1057, Oct. 2017.
【28】 Koya Sato, Kei Inage, and Takeo Fujii, “Compensation of Survivorship Bias in Path Loss
Modeling,” in Proc. IEEE PIMRC 2017, Montreal, Canada, Oct. 2017.
【29】 Hang Liu, Xu Zhu, and Takeo Fujii, “Primary user detection in cognitive radio using
spectral-correlation features and stacked denoising autoencoder,” in Proc. IEEE PIMRC
2017, Montreal, Canada, Oct. 2017.
【30】 Hiroshi Mizutani, Ryo Ishikawa, and Kazuhiko Honjo, “A Novel Two-Dimensional
Changeover GaN MMIC Switch for Electrically Selectable SPDT Multifunctional
Device,” in Proc. 39th IEEE CSIC, L.4, Oct. 2017.
【31】 Kazuki Mashimo, Ryo Ishikawa, and Kazuhiko Honjo, “4.5-/4.9 GHz-Band Tunable
High-Efficiency GaN HEMT Power Amplifier,” in Proc. 47th European Microwave
Conference, 460-463, Oct. 2017.
【32】 Yuki Takagi, Ryo Ishikawa, and Kazuhiko Honjo, “Wide-Band High-Efficiency GaN
HEMT Amplifier Based on Dual-Band Multi-Harmonic Treatments,” in Proc. 47th
European Microwave Conference, 468-471, Oct. 2017.
【33】 Hiroto Otsuka, Ryohei Yamagishi, Akira Saitou, Ryo Ishikawa, and Kazuhiko Honjo,“Analytical and Measured Estimation for 4-Value Multiplexing OAM Communication
Using Loop Array Antennas,” in Proc. 47th European Microwave Conference, pp.54-57,
Oct. 2017.
【34】 S. Momose, J. Ida, T. Mori, T. Yoshida, J. Iwata, T. Horii, T. Furuta, K.Itoh, andK.Ishibashi, “Gate Controlled Diode Characteristics of Super Steep Subthreshold Slope
PNBody Tied SOI-FET for High Efficiency RF Energy Harvesting,” in Proc. S3S
Conference 2017 (IEEE SOI-3D-Subthreshold Microelectronics Technology Unified
Conference), San Francisco, Oct. 2017.
【35】 Shinya Nii and Koichiro Ishibashi, “A 0.148nJ/conversion 65nm SOTB Temperature
Sensor LSI Using ThermistorDefined Current Source,” in Proc. S3S Conferrence2017- 34 -

(IEEE SOI-3D-Subthreshold Microelectronics Technology Unified Conference), San
Francisco, Oct. 2017【36】 Keita Katagiri, Koya Sato, and Takeo Fujii, “Crowdsourcing-assisted Radio
Environment Maps for V2V Communication Systems,” in Proc. IEEE VTC 2017-Fall,
Toronto, Canada, Sep. 2017.
【37】 Kan Kimura and Yasushi Yamao, “Blind Nonlinear Compensation for RF Receiver
Employing Sub-Nyquist Sampling A/D Conversion,” in Proc. VTC2017-Fall, 9G-02, Sep.
2017.
【38】 K. Ishibashi, M. Serizawa, R. Takitoge, S. Ishigaki, and T. Ishige, “DC Current Beat:
Wireless and Non-invasive DC Current Sensing Scheme,” in Proc. Eurosensors 2017,
Paris, France, Sep. 2017.
【39】 S. Ogata, K. Ishibashi, and G. Abreu, “Multi-Access Diversity Gain via Multiple Base
Station Cooperation in Frameless ALOHA,” in Proc. The 18th IEEE Int. Workshop on
Signal Process. Advances in Wireless Commun., pp.103-107, Sapporo, Japan, Aug. 2017.
【40】 Koji Kakinuma, Takeo Fujii, Osamu Takyu, and Mai Ohta, “Multiple informationcollection with frequency offset compensation by utilizing physical wireless parameter
conversion sensor network (PHY-C SN),” in Proc. ICUFN 2017, Milan, Italy, Jul. 2017.
【41】 Rei Hasegawa and Takeo Fujii, “Measurement-based spectrum database with meshclustering,” in Proc. ICUFN 2017, Milan, Italy, Jul. 2017.
【42】 Mai Ohta, Osamu Takyu, Takeo Fujii, and Makoto Taromaru, “Robust channel selection
method under home electronics-derived electromagnetic wave interference,” in Proc.
ICUFN 2017, Milan, Italy, Jul. 2017.
【43】 T. Ohtsuki, T. Yatsu, and M. Matsuura, “Regenerative wavelength conversion of PAM-4
signals using XGM with blue-shift filtering in a QD-SOA,” in Proc. CLEOPR/OECC/PGC 2017, 2-2L-2, Singapore, Jul. 2017.
【44】 R. Azumai, T. Aiba, M. Matsuura, and T. Wakabayashi, “Evaluation of noisecharacteristics in graded-index silica and plastic optical fibers for RoF links,” in Proc.
CLEO-PR/OECC/PGC 2017, P1-126, Singapore, Jul. 2017.
【45】 Xiaofeng Yang, Guanghao Sun, and Koichiro Ishibashi, “Non-contact Acquisition of
Respiration and Heart Rates Using Doppler Radar with Time Domain Peak- detection
Algorithm,” in Proc. IEEE EMBC’17, Jeju, Korea, Jul. 2017【46】 Ryo Ishikawa, Yoichiro Takayama, and Kazuhiko Honjo, “Concurrent Dual-Band Access
GaN HEMT MMIC Amplifier Suppressing Inter-Band Interference,” in Proc. 2017
International Microwave Symposium, THIF2-14, Jun. 2017【47】 Le Tien Trien and Yasushi Yamao, “Packet Relay-Assisted V2V Communication with
Cooperative Relay Stations in Urban Environment,” in Proc. ITS European Congress
2017, SP0837, Jun. 2017.
【48】 Yusuke Imai, Yuki Kada, and Yasushi Yamao, “Design of SHF 3-bit Reconfigurable Band
Rejection Filter,” in Proc. PIERS2017, May 2017.
- 35 -

【49】 Manabu Akita, Masato Watanabe, and Takayuki Inaba, “Development of Millimeter
Wave Radar Using Stepped Multiple Frequency Complementary Phase Code andConcept of MIMO Configuration,” in Proc. RadarConf'17, May 2017.
【50】 Takashi Shiba, Masato Watanabe, Masahiro Ishii, Manabu Akita, and Takayuki Inaba,“Nonlinear Effects for Sidelobe Characteristics of Pulse Radars,” in Proc. IEEEICMIM2017, Mar. 2017.
【51】 Manabu Akita, Yuya Ota, Masato Watanabe, and Takayuki Inaba “Experimental
Comparison of Stepped Multiple Frequency CPC with Pulse Compression” in Proc.
IEEE ICMIM2017, Mar. 2017

Invited Talks in International Conference【1】 Koichiro Ishibashi, “Characteristics of 65nm SOTB technology and Low power LSI
design using the SOTB technology,” in Proc. FIRST work shop on Low-power IC design
techniques and applications, Ho Chi Minh City, Vietnam, Mar. 2018

【2】 Koichiro Ishibashi and Jiro Ida, “RF energy harvesting project using Super Steep
Transistor on SOI process,” in Proc. FIRST work shop on Low-power IC design
techniques and applications, Ho Chi Minh City, Vietnam, Mar. 2018

【3】 Koichiro Ishibashi and Tran Ngoc Thinh, “IoT Sensors for Monitoring Water andApplications in Vietnam,” in Proc. VACI 2018, (Vietnam International Water Week),
Hanoi, Vietnam, Mar. 2018

【4】 Koichiro Ishibashi, Tran Ngoc Thinh, and Guanghao Sun, “IoT Sensor Technlogies toAddress Issues of Asean Region,” Key Note Speech, in Proc. RCCIE2017 (Regional
Conference on Computer and Information Engineering), Ho Chi Minh City, Vietnam,
Nov. 2017.

【5】 Koichiro Ishibashi, Ryohei Takitoge, and Shohei Ishigaki, “Beat Sensors IoT Technology
Suitable for Energy Saving,” in Proc. ICDV2017, Hanoi, Vietnam, Nov. 2017

【6】 Takeo Fujii, “Smart Spectrum for V2X Communication,” in Proc. SmartCom 2017, Rome,
Italy, Oct. 2017.

【7】 Kazuhiko Honjo, Yoichiro Takayama, and Ryo Ishikawa, “Concurrent Dual-Band
Amplifier Design Technique for 5G Wireless Systems,” in Proc. 12th Topical Workshop
on Heterostructure Microelectronics, 10-1, 85-86, Aug. 2017.

【8】 Jiro Ida, Kenji Itoh, and Koichiro Ishibashi, “Possibility of Super Steep Subthreshold
Slope Devices for High Efficiency RF Energy Harvesting of Ultra Low Power Input,” inProc. TJMW2017 (Thai Japan Micro Wave), Bangkok, Thailand, Jun. 2017【9】 Jiro Ida, Kenji Ito, and Koichiro Ishibashi, “Review of Steep Subthreshold Slope Devices
and its possibility for High Efficiency RF Energy Harvesting,” in Proc. VJMW2017(Vietnam Japan Micro Wave), Hanoi, Vietnam, Jun. 2017【10】 Koichiro Ishibashi, Ryohei Takitoge, and Shohei Ishigaki, “Advantages of Power and- 36 -

Temperature Beat Sensors for IoT Applications,” in Proc. VJMW2017 (Vietnam Japan
Micro Wave), Hanoi, Vietnam, Jun. 2017【11】 Koichiro Ishibashi, Junya Kikuchi, and Nobuyuki Sugii, “A 910nW Delta Sigma
Modulator using 65nm SOTB Technology for Mixed Signal IC of IoT Applications,” inProc. ICICDT2017, Austin, Texas, US, May 2017

Invited Talks in Domestic Conference【1】

大槻樹矢, 谷津智也, 松浦基晴, “データセンタのための量子ドット半導体光増幅器を用いた PAM-4 光波長変換,” 電子情報通信学会フォトニックネットワーク研究会, PN2017-95,
南種子町商工会館（鹿児島）, Mar. 2018.

【2】

松浦基晴, “光ファイバ無線のための光ファイバ給電技術,” レーザー学会学術講演会第 38
回年次大会, 京都市勧業館みやこめっせ（京都）, Jan. 2018.

【3】

本城和彦, “マイクロ波増幅器の基礎（基本原理から最新の話題まで）”, Microwave
Workshops 2017, FR1A-1, Dec. 2017.

【4】

稲葉敬之, 秋田学, 渡辺一宏, “狭受信機帯域による超広帯域コヒーレントレーダ技術,”
2017 年信学ソ大, BI-1-2, Sept. 2017.

【5】秋田学, 稲葉敬之, “多周波近距離レーダの各種産業分野への応用開発,” 2017 年信学ソ大,BI-1-1, Sept. 2017.

【6】松浦基晴, “将来の無線基地局のための高強度光ファイバ給電技術,” 応用物理学会 電子物性分科会 研究例会 光を用いたリモート給電の基礎と応用, 東京工業大（東京）, July 2017.

【7】

松浦基晴, “光ファイバ無線基地局の駆動を目的とした光ファイバ給電技術,” 電子情報通信学会フォトニックネットワーク研究会, PN2017-10, 秋田大学（秋田）, June 2017.

Tutorials【1】

松浦基晴, “無線基地局向け光ファイバー給電による信号と電力の同時伝送,” OplusE 特集
光無線給電の最新動向, 459 号, pp.153-156, Feb. 2018.

【2】

小河 昇平, 福永 貴徳 , 山岸 傑, 山田 雅也, 稲葉 敬之, "自動運転支援向け 76GHz 帯高分解能レーダ", SEI テクニカルレビュー, No.192, 2018.

Domestic Conferences【1】

横山達也, 小野哲, 和田光司, “高減衰量を有する楕円関数型低域通過フィルタの実現 ～遮蔽筐体及び遮蔽壁を用いた減衰量の確保 ～,” 信学技報, vol.117, no.462, MW2017-176,
pp.15-20, Mar. 2018.

【2】

阿部励, 小野哲, 和田光司, “楕円関数型 HPF による阻止域における高減衰量の実現 ～ シールドケースによる特性改善 ～,” 信学技報, vol.117, no.462, MW2017-177, pp.21-26,
Mar. 2018.

【3】

中村流星, 小野哲, 和田光司, “プリント基板加工機による V スロット DGS を用いた小型- 37 -

BRF の試作方法,” 信学技報, vol.117, no.462, MW2017-181, pp.39-44, Mar. 2018.
【4】

阿部友希, 山尾泰， “ディジタルプリディストーション信号処理の所要帯域幅の一検討,”
2018 年信学総大, B-5-56, Mar. 2018.

【5】

小川智史, 石川亮, 本城和彦, “高調波リアクティブ終端型 11GHz 帯 GaN HEMT 高効率電力増幅器,” 2018 年信学総大, C-2-24, Mar. 2018.

【6】

北村淳, 高山洋一郎, 石川亮, 本城和彦, “高効率低ひずみ独立バイアス型ダーリントン
GaN HEMT 増幅器,” 2018 年信学総大, C-2-23, Mar. 2018.

【7】

大塚啓人, 山岸遼平, 斉藤昭, 鈴木博, 石川亮, 本城和彦, “OAM 通信用ループアンテナア
レイにおける通過アイソレーションと EVM の関係,” 2018 年信学総大, B-1-34, Mar. 2018.

【8】

斉藤昭, 大塚啓人, 山岸遼平, 石川亮, 本城和彦, “アンテナ内 2 端子ループアレイを用いた
OAM 通信における多重度倍増の検討,” 2018 年信学総大, B-1-33, Mar. 2018.

【9】白崎裕介, 田久修, 大槻知明, 藤井威生, 半田志郎, 笹森文仁, “ゲーム理論的視点における低信頼中継局の位置変動による PLNC 無線通信システムの安全性の評価,” 2018 年信学総大, B-5-9, Mar. 2018.

【10】 野中敏希, 藤井威生, 田久修, 太田真衣, “ランダムアクセスにおけるクラウド協調を用いた衝突解決型無線センサネットワーク,” 2018 年信学総大, B-5-108, Mar. 2018.
【11】 太田真衣, 太田昇吾, 田久修, 藤井威生, “920MHz 帯 LoRa を用いた伝搬路特性の一報告,”2018 年信学総大, B-17-15, Mar. 2018.
【12】 太田昇吾, 田久修, 太田真衣, 安達宏一, 藤井威生, 笹森文仁, 半田志郎, “LPWA 通信における異種無線システムの周波数共用における干渉耐性能力の評価,” 2018 年信学総大, B-1719, Mar. 2018.
【13】 酒井健宏, 田久修, 藤井威生, 太田真衣, 笹森文仁, 半田志郎, “センシングデータが揺らぐ環境における物理量一括収集法の検討,” 2018 年信学総大, B-17-20, Mar. 2018.
【14】 神戸寛典, 田久修, 太田真衣, 安達宏一, 藤井威生, 笹森文仁, 半田志郎, “無線機のシステ
ム間干渉耐性能力の明確化と識別方法,” 2018 年信学総大, B-17-21, Mar. 2018.
【15】 藤田悠希, 太田真衣, 藤井威生, 田久修, 太郎丸真, 棚田智也, “2.4GHz 帯 ISM バンドにおける電子レンジからの電磁波識別法の一検討,” 2018 年信学総大, B-17-23, Mar. 2018.
【16】 田久修, 太田真衣, 藤井威生, “非線形占有率測定を利用した ACI を回避するマルチチャネ
ル通知法,” 2018 年信学総大, B-17-26, Mar. 2018.
【17】 佐々木友里, 田久修, 太田真衣, 藤井威生, 笹森文仁, 半田志郎, “マルチチャネル通知法を利用した制御信号交換プロトコルの提案,” 2018 年信学総大, B-17-27, Mar. 2018.
【18】 黒沢諒, 田久修, 太田真衣, 藤井威生, 笹森文仁, 半田志郎, “IFDMA と非線形増幅を利用したアクセスチャネル不整合補償法の実験的検討,” 2018 年信学総大, B-17-28, Mar. 2018.
【19】 相原直紀, 安達宏一, “CSMA/CA における機械学習を用いた無線リソース割り当て手法”,
2018 年信学総大, B-5-51, Mar. 2018.
【20】 高橋一成, 安達宏一, “基地局スリープ技術が端末のエネルギー消費量に与える影響の評価”,
2018 年信学総大, B-5-52, Mar. 2018.
【21】 Hendrik Lumbantoruan, 安達宏一, “回転角分割多元接続を用いる UAV-BS 無線ネットワーク”, 2018 年信学総大, B-5-126, Mar. 2018.
- 38 -

【22】 小菅義夫, 古賀禎, 宮崎裕己, 呂暁東, 稲葉敬之, “ドップラー併用の速度初期値が不要な
TDOA,” 2018 年信学総大, B-2-23, Mar. 2018.
【23】 渡辺一宏, 秋田学, 稲葉敬之, “狭受信機帯域での離隔周波数帯コヒーレント合成による高分解能化の目標分離特性,” 2018 年信学総大, B-2-36, Mar. 2018.
【24】 山田亮佑, 木村徳典, 秋田学, 稲葉敬之, “圧縮センシングによるスパース多周波ランダムス
テップ CPC の距離アンビギュイティ抑圧効果の統計的評価,” 2018 年信学総大, B-2-37,
Mar. 2018.
【25】 太田裕也, 秋田学, 稲葉敬之, “広帯域多周波ステップ CPC 方式における圧縮センシングを用いた速度視野改善法,” 2018 年信学総大, B-2-38, Mar. 2018.
【26】 秋田学, 山口達輝, 稲葉敬之, “多周波ステップ CPC レーダを用いた車両位置, 速度ベクトル推定法の実験的検証,” 2018 年信学総大, B-2-52, Mar. 2018.
【27】 秋田学, 谷井健太郎, 稲葉敬之, “多周波ステップ CPC レーダにおける離隔周波数コヒーレ
ント合成マルチパスフェージング対処アルゴリズムの検証,” 2018 年信学総大, B-2-54, Mar.
2018.
【28】 鈴木康介, 石橋孝一郎, “太陽電池を用いた Beat 方式無線照度センサ”, 2018 年信学総大,Mar. 2018.
【29】 桑沢龍亮, 小野哲, 和田光司, “インピーダンスステップスタブで構成したチップレスマイ
クロストリップ線路 RFID タグに関する検討”, 電子情報通信学会東京支部学生会研究発表会（第 23 回 103）, Mar. 2018.
【30】 長浦正樹, 小野哲, 和田光司, “ステップインピーダンス共振器を用いた小電力用デュアルバンド整流回路に関する検討,” 電子情報通信学会東京支部学生会研究発表会（第 23 回105）, Mar. 2018.
【31】 山口和樹, 渡辺一宏, 秋田学, 稲葉敬之, “Relax イテレーションを用いた BMML アルゴリ
ズムの提案と評価,” 電子情報通信学会東京支部学生会研究発表会, 97, Mar. 2018.
【32】 山田亮佑, 木村徳典, 秋田学, 稲葉敬之, “スパース多周波ランダムステップ CPC の複数点
目標に対する距離アンビギュイティ抑圧効果の統計的評価,” 電子情報通信学会東京支部学生会研究発表会, 99, Mar. 2018.
【33】 林真広, 山尾泰, “リアクティブルーティングを用いたアドホックネットワークの経路構築
における RREP のリンク再送の効果,” 信学技報 IN2017-133, Mar. 2018.
【34】 土生 卓, 山尾 泰, 鈴木 博, “スペクトル折返しスカラーフィードバックによる広帯域非線形補償法の解析,” 信学技報 RCS2017-328, Mar. 2018.
【35】 田久修, 安達宏一, 太田真衣, 藤井威生, “LPWA における周波数共用を促進する拡張無線
環境学習,” 信学技報, SR2017-130, Mar. 2018.
【36】 米山彰, 上山大輔, 田嶋奈奈, 松浦基晴, “ダブルクラッド光ファイバを用いた光給電型光ファイバ無線における 1.3-μm 帯多チャネル伝送,” 信学技報, PN2017-104, 南種子町商工会館（鹿児島）, Mar. 2018.
【37】 東井亮磨, 相葉孝充, 松浦基晴, “短距離アナログ・デジタル重畳光ファイバ伝送の検討,” 信
学技報, PN2017-106, 南種子町商工会館（鹿児島）, Mar. 2018.
【38】 伊藤玄馬, 松浦基晴, “量子ドット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- 39 -

信号再生器,” 信学技報, PN2017-107, 南種子町商工会館（鹿児島）, Mar. 2018.
【39】 星野弘樹, 岡田拓也, 松浦基晴, “量子ドット半導体光増幅器の周波数チャープを用いた光A/D 変換のための光量子化レベル向上,” 信学技報, PN2017-108, 南種子町商工会館（鹿児島）, Mar. 2018.
【40】 楊亮, 松浦基晴, “量子ドット半導体光増幅器を用いた光ナイキストパルス信号の全光型時
分割多重分離,” 信学技報, PN2018-stws-1, 南種子町商工会館（鹿児島）, Mar. 2018.
【41】 庄司尚生, 松浦基晴, “マルチモード光ファイバを用いた光給電型光ファイバ無線伝送のための帯域制限・雑音抑制法,” 信学技報, PN2018-stws-2, 南種子町商工会館（鹿児島）, Mar.
2018.
【42】 高井真人, 石橋功至, “密度発展法に基づく Repeat-Accumulate 信号符号の符号設計と評
価,” 信学技報, vol.117, no.456, RCS2017-400, pp.453-458, Feb. 2018.
【43】 J.-E. Kim, A. Malik, Y. Goto, S. Ogata, K. Ishibashi, and W.-Y. Shin, “Hybrid random
sleep protocol based on distributed coding,” in Proc. The Korean Inst. of Commun. andInf. Sci. Winter Conf., JeongSeon, Korea, Jan. 2018.
【44】 M. D. Nguyen, C. Tran, T. Kawaguchi, R. Tanabe, M. Oinaga, R. Takahashi, K. Ishibashi,
and W.-Y. Shin, “Energy-aware receiver-driven medium access control protocol for
wireless energy-harvesting sensor networks with multiple gateways,” in Proc. The
Korean Inst. of Commun. and Inf. Sci. Winter Conf., JeongSeon, Korea, Jan. 2018.
【45】 石川亮, 天川修平, 陳春平, 河口民雄, 岡崎浩司, “2017 年ヨーロッパマイクロ波会議出席
報告（特別講演）,” 信学技報, MW2017-169, Jan. 2018.
【46】 青木祐也, 藤井威生, 井手輝二, “スペクトラムセンシングに HMM を用いた複数プライマ
リユーザのパラメータ推定,” 信学技報, SR2017-102, Jan. 2018.
【47】 片桐啓太, 佐藤光哉, 藤井威生, “周辺車両情報を用いた信号変動分布の高精度予測に関する検討,” 信学技報, SR2017-104, Jan. 2018.
【48】 伊藤海峰, 小野瀬圭太, 佐藤光哉, 稲毛契, 藤井威生, “クラウドセンシングによる無線環境
データベース精度向上のためのキャリブレーション手法,” 信学技報, SR2017-103, Jan.
2018.
【49】 野口哲也, 田久修, 藤井威生, 大槻知明, 笹森文仁, 半田志郎, “ミラーリングヌルステアリ
ングを用いた情報共有における盗聴者に対する安全性,” 信学技報, RCS2017-300, Jan.
2018.
【50】 野口哲也, 田久修, 藤井威生, 大槻知明, 笹森文仁, 半田志郎, “低信頼中継局によるミラー
リングヌルステアリングを利用した安全な複数情報共有法,” 信学技報, RCS2017-251, Jan.
2018.
【51】 小菅義夫, 古賀禎, 宮崎裕己, 呂暁東, 稲葉敬之, “ドップラーとバイアス誤差を有する距離
観測値による TOA 測位, 測速,” 信学技報 SANE2017-99, vol. 17, no.403, pp77-82, Jan.
2018.
【52】 秋田学, 渡辺一宏, 稲葉敬之, “アレーアンテナを備える多周波ステップ CPC レーダにおける到来時間差およびレンジウォーク補償,” 信学技報 SANE2017-114, vol. 117, no.445,
pp31-36, Jan. 2018.
- 40 -

【53】 佐々木裕央, 角田智広, 秋田学, 小菅義夫, 稲葉敬之, “距離和とドップラー和観測値を用いたテイラー級数推定法による目標の位置及び速度推定における初期値更新処理の評価,” 信
学技報 SANE2017-100, vol. 117, no.403, pp83-88, Jan. 2018.
【54】 町田港, 石川亮, 本城和彦, “高効率トランジスタ整流器設計用 MHz 帯基本波・高調波アク
ティブ・ソース プルシステム”, 信学技報, MW2017-157, Dec. 2017.
【55】 大吉一成, 石川亮, 本城和彦, “エナジーハーベスティング用極低電力動作 GaAs pHEMT 整流器,” 信学技報, MW2017-143, Dec. 2017.
【56】 眞下和樹, 石川亮, 本城和彦, “PIN ダイオードを用いた 4.5-/4.9-GHz 帯域可変型 GaN
HEMT 高効率電力増幅器,” 信学技報, MW2017-142, Dec. 2017.
【57】 Kazumasa Oyoshi, Ryo Ishikawa, and Kazuhiko Honjo, “Ultra-Low-Power GaAs
pHEMT Rectifier for Energy Harvesting System,” 2017 Korea-Japan Microwave
Workshop, pp.19-20, Dec. 2017.
【58】 渡辺一宏, 秋田学, 稲葉敬之, “離隔周波数帯受信信号を用いた広帯域コヒーレント合成による高分解能測距方式の検討,” 信学技報 WBS2017-67, vol. 117, no.346, pp179-184, Dec.
2017.
【59】 芝隆司, 廣瀬太亮, 太田裕也, 秋田学, 稲葉敬之, “多周波ランダムステップ CPC レーダにおける電力差の大きい等レンジ目標分離のための信号降順減算による目標自動検出法,” 信
学技報 WBS2017-76, vol. 117, no.346, pp233-238, Dec. 2017.
【60】 木村徳典, 山田亮佑, 秋田学, 稲葉敬之, “多周波ステップ CPC レーダーにおける距離と角度方向の 2 次元圧縮センシングの検討,” 信学技報 WBS2017-77, vol. 117, no.346, pp239244, Dec. 2017.
【61】 後藤勇輝, 石橋功至, “実環境を想定した路車間通信における省電力分散符号化ランダムス
リープ方式の検討,” 情報理論とその応用シンポジウム 2017, pp.571-575, Nov. 2018.
【62】 田邉稜, 川口達広, 石橋功至, “エネルギーの流入出量に基づく分散間欠間隔制御付き受信機駆動型 MAC プロトコル,” 情報理論とその応用シンポジウム 2017, pp 559-564, Nov.
2018.
【63】 尾形駿, 石橋功至, “フレームレス ALOHA のための距離を考慮した送信確率設計,” 情報理論とその応用シンポジウム 2017, pp.277-282, Nov. 2017.
【64】 加田ゆうき, 山尾 泰, “直接並列接続による SHF 帯デュアルバンドリコンフィギャラブル
バンドパスフィルタの設計および解析，” 信学技報 MW2017-133，Nov. 2017.
【65】 今井祐介, 加田ゆうき, 山尾 泰, “リコンフィギャラブル BPF における RF スイッチ寄生素子の影響の解析，” 信学技報 MW2017-134, Nov. 2017.
【66】 阿久津直人, 加田ゆうき, 山尾 泰, “リコンフィギャラブル BPF における RF スイッチ寄生
素子の影響の解析,” 信学技報 MW2017-135, Nov. 2017.
【67】 山岸遼平, 大塚啓人, 斉藤昭, 石川亮, 本城和彦, “円形ループアレイを用いた OAM 通信における反射板によるモード単一性の向上,” 信学技報, MW2017-138, Nov. 2017.
【68】 大塚啓人, 山岸遼平, 斉藤昭, 石川亮, 本城和彦, “OAM 通信用ループアレイの端子角度制
御による干渉波抑制効果の解析,” 信学技報, MW2017-137, Nov. 2017.
【69】 西沢永, 高山洋一郎, 石川亮, 本城和彦, “2 増幅回路結合構成コンカレントデュアルバンド- 41 -

GaN HEMT 電力増幅器の特性改善,” 信学技報, MW2017-123, Nov. 2017.
【70】 髙木裕貴, 石川亮, 本城和彦, “マルチ高調波処理回路を用いた低 SHF 帯広帯域 GaNHEMT 高効率電力増幅器,” 信学技報, MW2017-121, Nov. 2017.
【71】 高山洋一郎, 本城和彦, 石川亮, “FET ドレーン・ゲート帰還容量のマイクロ波電力増幅特性への影響,” 信学技報, MW2017-120, Nov. 2017.
【72】 Kazuhiro Watanabe, Manabu Akita, and Takayuki Inaba, “Coherently Combining
Sparse-Multiband Processing for High Range Resolution by Narrow Band Radars,”
IEICE Technical Report, vol. 117, no.321, Nov. 2017.
【73】 芝隆司, 渡辺優人, 秋田学, 稲葉敬之, “非周期相関低サイドローブ複素符号を用いたパルス
MIMO レーダーへのフロントエンド特性の影響,” 信学技報 MW2017-108, vol. 117, no.244,
pp161-166, Oct. 2017.
【74】 木村 敢, 山尾 泰, “サブナイキスト標本化によるブラインド非線形補償特性の解析,” 信学
技報 RCS2017-168, Oct. 2017.
【75】 Osamu Takyu, Hayato Soya, Keiichiro Shirai, Mai Ohta, Takeo Fujii, Fumihito
Sasamori, and Shiro Handa, “A Study of Channel List for Fast Rendezvous Scheme
based Estimated Channel Occupancy,” Proc. SmartCom 2017, Rome, Italy, Oct. 2017.
【76】 Mai Ohta, Takeo Fujii, Osamu Takyu, and Makoto Taromaru, “A Study on Frequency
Asynchronous Spectrum Hole Detection Method,” Proc. SmartCom 2017, Rome, Italy,
Oct. 2017.
【77】 S. Ogata and K. Ishibashi, “Received-Power-Aware Design of Transmission Probability
for Frameless ALOHA,” in Proc. SmartCom 2017 (IEICE Tech. Rep.), vol.117, no.257,
SR2017-93, pp.73-74, Rome, Italy, Oct. 2017.
【78】 T. Kawaguchi, R. Tanabe, and K. Ishibashi, “Experimental Evaluation of ConditionAware Receiver-Initiated MAC Protocol for Energy-Harvesting Wireless Sensor
Networks,” in Proc. SmartCom 2017 (IEICE Tech. Rep.), vol.117, no.257, SR2017-92,
pp.71-72, Oct. 2017, Rome, Italy, Oct. 2017.
【79】 野口哲也, 田久修, 藤井威生, 大槻知明, 笹森文仁, 半田志郎, “二アンテナ低信頼中継局による安全な情報共有のためのミラーリングヌルステアリングを利用した送信電力制御,” 信
学技報, RCS2017-170, Oct. 2017.
【80】 Keita Onose, Koya Sato, Kei Inage, and Takeo Fujii, “Experimental Verification ofFrequency-Correlation for Radio Environment Recognition Using Crowd Sensing,” inProc. SmartCom 2017, Rome, Italy, Oct. 2017.
【81】 Toshiyuki Shizuoka, Osamu Takyu, Mai Ohta, and Takeo Fujii, “Environmental Aware
Hierarchical Wireless Ad Hoc Network on Multiple Frequency Bands and Multiple
Channels,” in Proc. SmartCom 2017, Rome, Italy, Oct. 2017.
【82】 Yusuke Shirasaki, Osamu Takyu, Takeo Fujii, Tomoaki Ohtsuki, Fumihito Sasamori,and Shiro Handa, “A Study of Secure PLNC Relaying with Untrusted Relay in Game
Theoretic Perspective,” Proc. SmartCom 2017, Rome, Italy, Oct. 2017.
【83】 菊地陽介, 山尾 泰, “市街地における右折衝突防止シナリオでの電波伝搬特性,” 2017 年信- 42 -

学ソ大, A-14-3, Sep. 2017.
【84】 木村 敢, 山尾 泰, “サブナイキストブラインド非線形補償受信信号処理,” 2017 年信学ソ大,
B-5-31, Sep. 2017.
【85】 西沢永, 高山洋一郎, 石川亮, 本城和彦, “4.5/8.5GHz 帯コンカレントデュアルバンド高効率 GaN HEMT 電力増幅器,” 2017 年信学ソ大, C-2-11, Sep. 2017.
【86】 斉藤昭, 大塚啓人, 山岸遼平, 石川亮, 本城和彦, “ループアンテナアレイを用いた OAM 通
信における多重度倍増の検討,” 2017 年信学ソ大, B-1-53, Sep. 2017.
【87】 大塚啓人, 山岸遼平, 斉藤昭, 石川亮, 本城和彦, “OAM 通信用ループアレイアンテナの端子角度制御による干渉波抑制効果”,2017 年信学ソ大, B-1-54, Sep. 2017.
【88】 山岸遼平, 大塚啓人, 斉藤昭, 石川亮, 本城和彦, “反射板付きループアレイアンテナを用いた OAM 通信におけるモード単一性の向上,” 2017 年信学ソ大, B-1-55, Sep. 2017.
【89】 尾嶋崇行, 藤井威生, “モバイルエッジコンピューティングにおける端末移動予測を利用したリソース制御,” 2017 年信学ソ大, B-17-24, Sep. 2017.
【90】 芝隆司, 太田裕也, 秋田学, 稲葉敬之, “広帯域多周波ステップ CPC 方式レーダーにおける周波数ステップランダム化による速度視野拡大効果の統計的確認”, 2017 年信学ソ大, B-27, Sep. 2017.
【91】 渡辺一宏, 石崎健太, 秋田学, 稲葉敬之, “狭受信機帯域幅での広帯域レーダによる歩行者検出法の検討”, 2017 年信学ソ大, B-2-11, Sep. 2017.
【92】 秋田学, 渡辺優人, 稲葉敬之, “多周波ステップ CPC ミリ波レーダによる遠距離高分解能の実験的検証”, 2017 年信学ソ大, B-2-15, Sep. 2017.
【93】 小菅義夫, 古賀禎, 宮崎裕己, 呂暁東, 秋田学, 稲葉敬之, “ドップラー及びバイアス誤差を有する距離観測値からの測位, 測速”, 2017 年信学ソ大, B-2-23, Sep. 2017.
【94】 百瀬駿, 井田次郎, 森貴之, 吉田貴大, 岩田潤平, 堀井隆史, 古田貴大, 山田拓弥, 高松大地,
伊東健治, 石橋孝一郎, 新井康夫, “急峻な SS を持つ PN-Body Tied SOI FET を用いた高効率 RF エネルギーハーベスティング用 Gate Controlled Diode の特性”, 電子情報通信学会，集積回路研究会, 札幌, Aug. 2017【95】 渡辺一宏, 石崎健太, 秋田学, 稲葉敬之, “狭受信機帯域幅での広帯域レーダ（多周波ステッ
プ CPC/ELD-SATP）による歩行者／車両判別技術の検討”, 信学技報, SANE2017-39,
vol.117, no.182, pp59-64, Aug. 2017.
【96】 土生 卓, 李 草禹, 山尾 泰, "スペクトル折返しスカラーフィードバックによる広帯域非線形補償法，”信学技報 MW2017-66, Jul. 2017.
【97】 征矢隼人, 田久修, 白井啓一郎, 太田真衣, 藤井威生, “占有率測定によるアクセスチャネルを推定する学習型占有率測定法によるランデブチャネル法の改良,” 信学技報, SR2017-60,
Jul. 2017.
【98】 右手達也, 渡辺裕太, 佐藤光哉, 藤井威生, 清水崇之, アルトゥンタシュ オヌル, “V2V ネ
ットワーク信頼性向上のためのマルチアンテナ逐次干渉除去に関する研究,” 信学技報,
SR2017-58, Jul. 2017.
【99】 眞田裕史, 相澤礼奈, 川田拓也, 藤井威生, “U-Bus Air におけるクラウド連携による端末経路冗長性削減手法,” 信学技報, SR2017-53, Jul. 2017.
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【100】 福田恭佑, 田久修, 白井啓一郎, 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精度データ分離を実現する送信制御法,” 信学技報,
SR2017-48, Jul. 2017.
【101】 野口哲也, 田久修, 藤井威生, 大槻知明, 笹森文仁, 半田志郎, “低信頼中継局におけるMIMO プレコーダを利用した安全な情報共有法,” 信学技報, SR2017-39, Jul. 2017.
【102】 川口達広, 田邉 稜, 石橋功至, “エナジーハーベスティングセンサーネットワークの実現に向けた受信機駆動型 MAC プロトコルの実装と実験的評価,” 信学技報, vol.117, no.132,
RCS2017-109, pp.97-102, Jul. 2017.
【103】 Haruka Nishizawa, Yoichiro Takayama, Ryo Ishikawa, and Kazuhiko Honjo, “8.5 GHzBand GaN HEMT High-Efficiency Power Amplifier with Harmonic Reactive
Termination,” 2017 Thailand-Japan Microwave, FR2-09, Jun. 2017.
【104】 Shogo Mizoguchi, Kazuhiko Honjo, and Ryo Ishikawa, “Study on Compact Bidirectional
DC-DC Converter Consisting of 100-MHz High-Efficiency Amplifier and Rectifier,” 2017
Thailand-Japan Microwave, TH1-09, Jun. 2017.
【105】 Misako Fujimaki Ryo Ishikawa, and Kazuhiko Honjo, “Study on 900 MHz Band ClassF GaAs HEMT Rectifier with Wide Dynamic Range Operation,” 2017 Thailand-Japan
Microwave, TH1-23, Jun. 2017.
【106】 秋田学, 廣瀬太亮, 渡辺優人, 稲葉敬之, “多周波ステップ CPC 方式における目標自動検知
法の検討”, 信学技報 SANE2017-13, vol. 117, no.107, June 2017【107】 太田裕也, 秋田学, 渡辺優人, 稲葉敬之, “広帯域多周波ステップ CPC レーダの実験的検証と速度視野改善”, 信学技報 SANE2017-14, vol. 117, no.107, June 2017【108】 山口達輝, 渡辺優人, 秋田学, 稲葉敬之, “BM 法を用いた離隔周波数帯コヒーレント合成による高距離分解能測距手法の検討”, 信学技報 SANE2017-19, vol. 117, no.107, pp37-41,
June 2017【109】 稲葉敬之, 秋田学, 渡辺優人, “超広帯域（79GHz 帯域 4GHz 幅等）に向けた狭受信機帯域
レーダ方式の提案”, 信学技報 SANE2017-20, vol. 117, no.107, pp43-48, June 2017.
【110】 Nguyen Van Trung and Koichiro Ishibashi, “RF Characteristics of SOTB Devices for
GHz Frequency Applications,” TJMW2017 (Thai Japan MicroWave), Jun. 2017,
Bangkok, Thailand【111】 田久修, 木村匠, 藤井威生, 太田真衣, “Open Flow によるトラヒック経路切り替えを利用したマルチチャネルアクセス機構における一検討,” 信学技報, SR2017-14, May 2017.
【112】 片桐啓太, 佐藤光哉, 藤井威生, “協調型自動運転の通信信頼度向上のための電波環境マップの構築,” 信学技報, SR2017-13, May 2017.
【113】 稲毛契, 佐藤光哉, 藤井威生, “自己組織化マップを用いた実観測型電波環境データ,” 信学
技報, SR2017-1, May 2017.
【114】 久保木駿, 庄司尚生, 松浦基晴, “マルチモード光ファイバを用いた光給電型光ファイバ伝送のための波長・モード分割多重技術,” 信学技報, OFT2017-4, 島根大学（島根）, May 2017.
【115】 上山大輔, 米山彰, 松浦基晴, “ダブルクラッド光ファイバを用いた光給電型アナログ・デジ
タル信号同時伝送,” 信学技報, OFT2017-5, 島根大学（島根）, May 2017.
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【116】 大槻樹矢, 谷津智也, 松浦基晴, “PAM-4 信号のための量子ドット半導体光増幅器を用いた
広帯域光波長変換,” 信学技報, OFT2017-19, 島根大学（島根）, May 2017.
【117】 楊 小鳳, 石橋孝一郎, “ドップラーレーダを用いた時間領域ピーク検出アルゴリズムによる呼吸と心拍の非接触測定”, 第 56 回日本生体医工学会大会, 仙台, May 2017.
【118】 レ ティエン チエン, 山尾 泰，“市街地環境における棲分け型協調中継アシスト車車間通信システム，”信学技報 RCS2017-19, Apr. 2017.
【119】 尾形駿, 石橋功至, アブレウ ジュゼッペ, “複数ベースステーション協調を用いたフレーム
レス ALOHA におけるパケット損失確率の一般化解析について,” 信学技報, vol.117, no.11,
RCS2017-17, pp.83 - 88, Apr. 2017.
【120】 田邉 稜, 石橋功至, 川田拓也, 相澤礼奈, “無線共存ネットワークのための再送付き受信機
駆動型 MAC プロトコルの性能解析,” 信学技報, vol.117, no.11, RCS2017-16, pp.77 - 82,
Apr. 2017.
【121】 後藤勇輝, 石橋功至, “パケット共有を考慮した路車間通信のための省電力分散ランダムス
リープ方式,” 信学技報, vol.117, no.11, RCS2017-18, pp.88 - 94, Apr. 2017.

Symposiums【1】 山尾 泰, “次世代交通・運輸システムにおける通信の役割と課題,” ギガビット研究会シンポ
ジウム講演, Dec. 2017.
【2】 和田光司, 小野哲 “平面フィルタの小型化のための基礎と勘所” MWE2017 ワークショップ
プログラム基礎講座, Nov. 2017
【3】 小野哲, 和田光司, “平面フィルタの高周波化のための基礎と勘所” MWE2017 ワークショッ
ププログラム基礎講座, Nov. 2017

Others【1】 後藤勇輝, 石橋功至, “[奨励講演] 稠密無線センサネットワーク環境における省電力分散符
号化ランダムスリープ方式の性能評価,” 信学技報, vol. 117, no. 456, RCS2017-336, pp. 107– 111, Feb. 2018.
【2】 山尾 泰, “社会に拡がるワイヤレス通信技術 - IoT, ITS, RF-ID, 5G -,” 電気通信大学創立百周年記念公開講座講演, Sep. 2017.

Awards【1】 加田ゆうき，平成 29 年度目黒会賞（博士前期課程学生）, Mar. 2017.
【2】 執行彬秀，平成 29 年度目黒会賞（博士前期課程学生）, Mar. 2017.
【3】 高橋龍平，平成 29 年度目黒会賞（学部学生）, Mar. 2017.
【4】 伊藤海峰，平成 29 年度目黒会賞（学部学生）, Mar. 2017.
【5】 電子情報通信学会フォトニックネットワーク（PN）研究会 若手研究賞（谷津 智也）「量子
ドット半導体光増幅器を用いた PAM-4 信号の光波長変換」, Mar. 2018.
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【6】 電子情報通信学会フォトニックネットワーク（PN）研究会 学生ワークショップ 優秀賞（楊亮）「量子ドット半導体光増幅器を用いた光ナイキストパルス信号の全光型時分割多重分離」,
Mar. 2018.
【7】 OFC 2018 Top Scored Paper (D. Kamiyama, A. Yoneyama, and M. Matsuura),“Multichannel analog and digital signal transmission with watt-class electrical power
delivery by means of power-over-fiber using a double-clad fiber”, Mar. 2018.
【8】 OSA Spotlight on Optics (H. Kuboki and M. Matsuura) “Optically powered radio-overfiber system based on center- and offset-launching techniques using a conventional
multimode fiber”, Mar. 2018.
【9】 尾形駿, 石橋功至, SmartCom 2017 Best student paper award, Oct. 2017.（博士後期課程
学生）【10】 Keita Katagiri, IEEE VTS Tokyo Chapter 2017 Young Researcher's Encouragement
Award, Sep. 2017.
【11】 木村 敢, IEEE VTS Tokyo Young Researcher’s Encouragement Award【12】 藤井威生, 電子情報通信学会功労顕彰状, Sep. 2017【13】 藤井威生, 電子情報通信学会活動功労賞（英文誌編集委員の活動）, Sep. 2017【14】 藤井威生, 電子情報通信学会活動功労賞（通信ソサイエティ執行委員会ハンドブック幹事としての活動）, Sep. 2017【15】 中村流星, 電子情報通信学会マイクロ波研究会主催 2017 年度学生マイクロ波回路設計試作コンテスト, BRF 部門

優秀賞（2 位）, （Sep. 2017）【16】 横山達也, 電子情報通信学会マイクロ波研究会主催 2017 年度学生マイクロ波回路設計試作コンテスト, LPF 部門

最優秀賞（1 位）, （Sep. 2017）【17】 阿部励, 電子情報通信学会マイクロ波研究会主催 2017 年度学生マイクロ波回路設計試作コ
ンテスト, HPF 部門

最優秀賞（1 位）, （Sep. 2017）【18】 佐藤光哉, 電子情報通信学会スマート無線研究会の研究奨励賞, Apr. 2017【19】 2017 Thailand-Japan Microwave (TJMW2017), Young Researcher Encouragement
Award: Shogo Mizoguchi【20】 2017 Thailand-Japan Microwave (TJMW2017), Young Researcher Encouragement
Award: Misako Fujimaki【21】 後藤勇輝, 平成 28 年度無線通信システム研究会活動奨励賞, May 2017（博士前期課程学生）【22】 和田・小野研究室, 東工大 MCRG/電通大 AWCC オープンハウス 2017 ポスター優秀発表賞, (Apr. 2017)【23】 第 32 回電気通信普及財団賞（テレコムシステム技術賞）奨励賞, 多周波ステップ CPC レー
ダの提案と原理検証実, Mar. 2017.

Patents【1】 “光ファイバ給電・信号伝送システム”、松浦基晴、上山大輔、特願 2018-023803【2】 特許第 6218272 号, 石川亮，本城和彦，高山洋一郎, “電力伝送装置”, 6 Oct. 2017（登録日）- 46 -

【3】 特許第 6218069 号, 本城和彦, 斉藤昭, “アンテナ”, 6 Oct. 2017（登録日）【4】 “列車位置検出装置及び列車位置検出方法”, 特許第 6145417 号, 19 May 2017 登録【5】 “列車状態検出装置及び列車状態検出方法”, 特許第 6219335 号, 6 Oct. 2017 登録【6】 遠藤朋実, 藤井威生 “無線センサネットワークシステム” 日本国, 特許第 6309768, 23 Mar.
2018 登録【7】北村優行, 大上裕也, 稲毛契, 藤井威生 “無線通信装置、無線通信方法、および無線通信ネットワーク” 日本国, 特許第 6210507, 22 Sep.t 2017 登録

Pantent Applications【1】 山尾 泰，“可変インピーダンス回路、フィルタおよび増幅器，”特願 2017-210268．
【2】 レ ティエン チエン, 安達宏一, 山尾 泰, “車車間通信システム、車載器、中継器および車車間通信方法,” 特願 2018-189617．
【3】 山尾 泰, “無線通信装置および動作方法,” PCT 国内出願

特願 2016-574808．

【4】 特願 2018-034522, 斉藤昭, 本城和彦, 石川亮, 鈴木博, “アレイアンテナおよび無線通信システム”, 日本, 出願日：28 Feb. 2018
【5】 “離隔周波数合成レーダ装置, 距離推定方法及びプログラム”, 特願 2017-024199, 13 Feb.
2018.
【6】 特願 2017-102931, 斉藤昭, 大塚啓人, 本城和彦, 石川亮, “無線通信装置及びアンテナ装置”,
日本, 出願日：24 May 2017
国際公開公報
出願番号：PCT/JP2017/016153 （2017/04/24）
公開番号：WO2017/188172 （2017/11/02）
出願国：PCT

Press Releases【1】 “信号・電力 同時に 電通大 光ファイバー1 本で”, 松浦基晴, 日刊工業新聞掲載, 12 Mar.
2018.
【2】 稲葉敬之, “超スマート社会の実現を目指す最先端の科学・技術研究”, 電気通信大学創立 100
周年記念公開講座, 18 Nov. 2017
【3】 日刊工業新聞“通信容量大幅に拡大

電通大, 電波の多重化新技術”, 10 Nov. 2017.

【4】 稲葉敬之, “狭帯域・遠近両用高分解能小型レーダー技術の研究開発”, 電波資源拡大のための研究開発第 10 回成果発表会, 26 May 2017.

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