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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 123  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
14:50
Okinawa Okinawa Convention Center Real space sharing processing multihop networks
Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Toshiaki Tsujii (OMU) NS2023-224
ICT is already widely prevalent. Along with it, processors, memories and other computational resources exist everywhere ... [more] NS2023-224
pp.306-311
NS, RCS
(Joint)
2023-12-14
10:35
Fukuoka Kyushu Institute of Technology Tobata campus, and Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Study of Transmit Timing Adjustment Function for Application of A-RoF System to TDD System
Yuta Takahashi, Yasuyoshi Yamamoto, Mizuki Suga, Hideki Toshinaga, Naoki Kita (NTT) NS2023-127 RCS2023-180
High-Speed and broadband network transformation is needed for 6G (sixth-generation wireless technology) era, it is neces... [more] NS2023-127 RCS2023-180
pp.21-25
RISING
(3rd)
2023-10-31
09:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Distributed ABS Deployment Method Considering LoS/NLoS Conditions
Makitaro Furuta (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Tetsuya Takine (Osaka Univ.)
Unmanned aerial vehicles (UAVs) equipped with cellular base stations, namely, aerial base stations (ABS), have attracted... [more]
NLP, CAS 2023-10-07
11:10
Gifu Work plaza Gifu Performance Evaluation on Coupling Model between Oscillators for Performance Improvement of Autonomous Decentralized TDMA
Takuma Osada (Tokyo Univ. of Science), Hiroyuki Yasuda (The Univ. of Tokyo), Maki Arai (Tokyo Univ. of Science), Song-Ju Kim (SOBIN), Mikio Hasegawa (Tokyo Univ. of Science) CAS2023-52 NLP2023-51
IoT wireless communication devices are expected to be placed in very high densities, and it is important to realize a co... [more] CAS2023-52 NLP2023-51
pp.100-103
NS 2023-10-04
14:15
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Distributed ABS Deployment Method Considering LoS/NLoS Conditions
Makitaro Furuta (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Tetsuya Takine (Osaka Univ.) NS2023-74
Unmanned aerial vehicles (UAVs) equipped with cellular base stations, namely airborne base stations (ABS), have attracte... [more] NS2023-74
p.28
CCS, IN
(Joint)
2023-08-03
11:09
Hokkaido Banya-no-yu Reinforcement learning-based control of CWmin and Carrier Sense Threshold for IEEE 802.11 WLAN.
Yuto Higashiyama, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.) CCS2023-20
Distribute Coordination Function (DCF) is a basic channel access protocol in IEEE 802.11 Wireless Local Area Networks (W... [more] CCS2023-20
pp.19-24
SeMI, RCS, RCC, NS, SR
(Joint)
2023-07-14
10:00
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
A Study on Coupling Functions between Nonlinear Oscillators for Performance Improvement of Autonomous Decentralized TDMA
Takuma Osada (Tokyo Univ. of Science), Hiroyuki Yasuda (The Univ. of Tokyo), Maki Arai (Tokyo Univ. of Science), Song Ju Kim (SOBIN), Mikio Hasegawa (Tokyo Univ. of Science) SR2023-42
IoT wireless communication devices are expected to be placed in very high densities, and it is important to realize a co... [more] SR2023-42
pp.64-68
SR 2023-05-12
13:55
Hokkaido Center of lifelong learning Kiran (Higashi Muroran)
(Primary: On-site, Secondary: Online)
[Invited Talk] Federated Learning-Inspired Gaussian Process Regression: Low Latency Design and Its Application to Radio Map Construction
Koya Sato (UEC) SR2023-20
Gaussian process regression (GPR) is a non-parametric method that optimizes regression analysis for Gaussian process dat... [more] SR2023-20
p.91
IN, NS
(Joint)
2023-03-02
12:50
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Sustainable mobile multihop networks for sharing environmental space
Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Toshiaki Tsujii (OMU) NS2022-183
Heavy flooding, mud and rock slide, snowstorm and earthquake as well as the grate earthquake repeatedly cause massive un... [more] NS2022-183
pp.95-100
SR, UWT
(Joint)
2023-01-26
13:40
Tokyo Takanawa Campus, Tokai Univ.
(Primary: On-site, Secondary: Online)
[Invited Talk] Smart Radio and Beyond 5G
Suguru Kameda (Hiroshima Univ.) SR2022-73
The IEICE Technical Committee on Smart Radio (TCSR) was established in 1999 as the Time-limited Technical Committee on S... [more] SR2022-73
p.10
NS, IN, CS, NV
(Joint)
2022-09-02
13:45
Iwate MALIOS (Iwate Prefecture) + Online Meeting
(Primary: On-site, Secondary: Online)
Performance Analysis of UAV Distributed Management Method Based on Network Technologies
Takahiko Haraguchi (Shibaura Inst. Tech.), Hiroshi Katada (Waseda Univ.), Taku Yamazaki, Takumi Miyoshi (Shibaura Inst. Tech.), Ryo Yamamoto (UEC), Kiyoshi Ueda (Nihon Univ.) NS2022-72
Unmanned aerial vehicles (UAVs) are expected to be used in various situations such as delivery services and sensing. In ... [more] NS2022-72
pp.66-69
IN, RCS, NV
(Joint)
2022-05-26
15:45
Kanagawa Keio University (Hiyoshi Campus)
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] Distributed Lossy Multi-terminal Communications over Fading MAC and Decision Making (This tutorial is funded by IoTAD-CEO project under CominLab)
Tad Matsumoto (IMT-Atlantique, Brest, France/Professor Emeritus, JAIST), Elsa Dupraz (IMT-Atlantique, Brest, France) RCS2022-18
Network Information Theory is an extension of Shannon’s Information Theory to Networks. We believe that the key to the s... [more] RCS2022-18
pp.26-27
NS, IN
(Joint)
2022-03-11
11:00
Online Online Sustainable realtime information sharing mobile networks
Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII), Tsujii Toshiaki (OPU) NS2021-147
We have designed real-time information sharing communication platform on many multihop networks composed of familiar dev... [more] NS2021-147
pp.146-151
SeMI 2022-01-20
15:10
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Joint Control of Machine Learning Model and Wireless LAN Parameters in Split inference by Reinforcement Learning
Kojin Yorita (Tokyo Tech.), Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Tokyo Tech.), Daiki Yoda, Toshihisa Nabetani (Toshiba) SeMI2021-66
Distributed inference (DI) enables machine learning (ML) inference with a deep neural network on resource-constrained de... [more] SeMI2021-66
pp.51-54
CQ, MIKA
(Joint)
2021-09-10
12:40
Online Online [Special Invited Talk] Toward Communication Efficient Federated Learning
Takayuki Nishio (TokyoTech) CQ2021-56
Federated Learning (FL) is a machine learning framework that trains models using distributed data. Since FL can utilize ... [more] CQ2021-56
pp.94-96
OFT, OCS, LSJ
(Joint) [detail]
2021-08-26
13:05
Online Online [Invited Talk] Evolution of the mobile systems and expectations for the transport network
Kenichi Minamisono (SoftBank) OFT2021-12
The 5th generation mobile communication system (5G) requires an extremely high data rate of 20Gbps in the downlink, and ... [more] OFT2021-12
pp.1-6
IN, NS
(Joint)
2021-03-05
15:50
Online Online A study of disaster prevention application on wide-area multihop network systems -- For application of disaster prevention --
Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII) NS2020-173
We design real-time information sharing communication platform consists of multihop-network linked small board computers... [more] NS2020-173
pp.299-304
SIP, IT, RCS 2021-01-21
15:45
Online Online [Special Invited Talk] Turbo Equalization to Lossless/Lossy Distributed Multiterminal Source Coding: How are they connected? -- Towards Distributed Hypothesis Testing over IoT Networks --
Tadashi Matsumoto (JAIST) IT2020-80 SIP2020-58 RCS2020-171
A goal of this talk is to provide the audience with the knowledge about how the presenter's research experiences and foo... [more] IT2020-80 SIP2020-58 RCS2020-171
p.99
NS, RCS
(Joint)
2020-12-17
12:15
Online Online Processing allocation algorithm for distributed deep learning in wireless sensor networks
Karin Umeda, Takashi Nishitsuji, Takuya Asaka (Tokyo Metropolitan Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.) NS2020-90
In wireless sensor networks, distributed processing technology for deep learning that utilizes edge computing and mobile... [more] NS2020-90
pp.17-22
NS, RCS
(Joint)
2020-12-18
13:25
Online Online [Invited Lecture] Distributed Antenna Systemes using High-Frequency-Band targeting 6G Wireless Networks
Daisei Uchida, Tatsuhiko Iwakuni, Naoki Kita, Takeshi Onizawa (NTT), Yoshihisa Kishiyama, Satoshi Suyama, Satoshi Nagata, Takahiro Asai (docomo) NS2020-101 RCS2020-148
High-Speed and broadband network transformation is needed for multi-points collecting sensing data and distributing movi... [more] NS2020-101 RCS2020-148
pp.73-78
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