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All Technical Committee Conferences  (Searched in: Recent 10 Years)

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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 87  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2025-03-13
16:45
Okinawa Miyakojima City Central Community Center (Okinawa) Throughput optimization for two-way multi-hop communication relaying multiple drones
Nagomu Kazama (TUS), Hiroyuki Yasuda (UTokyo), Maki Arai, Mikio Hasegawa (TUS)
 [more]
RCS, SR, SRW
(Joint)
2025-03-07
10:10
Kyoto Kyoto Institute of Technology (Kyoto, Online)
(Primary: On-site, Secondary: Online)
[Short Paper] Experimental Analysis of Analog Beamforming Network Using 3-dimensional Dielectric Lens
Maki Arai, Mikio Hasegawa (Tokyo Univ. of Science)
(To be available after the conference date) [more]
NC, NLP
(Joint)
2025-01-29
12:15
Osaka (Osaka) Experimental Evaluation of Reinforcement Learning-Based Power Consumption Reduction Method for Bluetooth Low Energy Beaconing
Reona Nomura (TUS), Ryosuke Isogai, Yudai Imano, Yoshifumi Yoshida (SEIKO), Hiroyuki Yasuda (UTokyo), Song-Ju Kim (SOBIN), Maki Arai, Mikio Hasegawa (TUS) NLP2024-101
 [more] NLP2024-101
pp.47-52
SeMI 2025-01-24
09:50
Kanagawa (Kanagawa) A study on relay node placement for multi-hop APCMA communication
Ryota Yamamoto, Naoki Wakamiya (Osaka Univ.), Iruru Ouchi, Mikio Hasegawa (TUS) SeMI2024-75
This paper examines the placement of relay nodes for multi-hop communication using Asynchronous Pulse Code Multiple Acce... [more] SeMI2024-75
pp.76-81
NS, RCS
(Joint)
2024-12-19
17:15
Hokkaido Hakodate Arena + Online (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Energy Efficiency Improvement by Transmission Parameter Selection Using Reinforcement Learning in LoRa Systems
Ryota Ariyoshi (UEC), Mikio Hasegawa (TUS), Tomoaki Ohtsuki (Keio Univ.), Aohan Li (UEC) RCS2024-188
Long-rang (LoRa) is a representative Internet of Things (IoT) technique. Due to its advantages, such as low power consum... [more] RCS2024-188
pp.74-79
SRW, SeMI
(Joint)
2024-11-29
15:40
Tokyo Tokyo Univ. of Science Katsushika Campus (Tokyo, Online)
(Primary: On-site, Secondary: Online)
Optimization Method for MU-MIMO Using a Directivity Derivation Approach Based on Spherical Mode Expansion
Shunta Naganuma, Maki Arai (Tokyo Univ. of Science), Aohan Li (The Univ. of Electro-Communications), Mikio Hasegawa (Tokyo Univ. of Science) SRW2024-48 SeMI2024-60
This paper proposes an optimization method for MU-MIMO systems using antenna directivity derivation based
on spherical... [more]
SRW2024-48 SeMI2024-60
pp.96-101
SR 2024-11-04
14:55
Overseas Fraunhofer IPT (Overseas) [Poster Presentation] Performance Improvement of Reinforcement Learning Based Energy-Efficient Beaconing Scheme in Bluetooth Low Energy
Reona Nomura (TUS), Ryosuke Isogai, Yudai Imano, Yoshifumi Yoshida (SEIKO), Hiroyuki Yasuda (UTokyo), Song-Ju Kim (SOBIN), Maki Arai, Mikio Hasegawa (TUS) SR2024-54
Bluetooth Low Energy (BLE) is a short-range wireless communication characterized by very low power consumption and is w... [more] SR2024-54
pp.17-23
MIKA
(3rd)
2024-10-28
15:40
Okayama Okayama Convention Center (Okayama) [Poster Presentation] Implementation and performance evaluation of an autonomous decentralized collision avoidance method for LoRa based on antiphase synchronization
Dai Kojima, Takuma Osada, Maki Arai, Mikio Hasegawa (TUS)
 [more]
MIKA
(3rd)
2024-10-28
15:40
Okayama Okayama Convention Center (Okayama) [Poster Presentation] Application of Deep Reinforcement Learning for Route Optimization in Satellite-to-Satellite Optical Communication
Ibuki Ikeda (TUS), Koji Oshima (NICT), Maki Arai, Mikio Hasegawa (TUS)
In a multi-hop communication using LEO satellite networks between two ground stations latency increases when access to s... [more]
NLP 2024-09-06
14:15
Gifu Takayama City Library (Gifu) Application of Laser Chaos Decision Maker to beam tracking in Massive MIMO
Hirotaka Asano, Maki Arai, Mikio Hasegawa (Tokyo Univ. of Science) NLP2024-56
 [more] NLP2024-56
pp.77-82
CQ
(2nd)
2024-08-28
15:00
Fukushima Tenjin-Misaki Sports Park (Fukushima) [Poster Presentation] Experimental Evaluation of MAB-Based Energy Efficient Beaconing in Bluetooth Low Energy
Reona Nomura (TUS), Ryosuke Isogai, Yudai Imano, Yoshifumi Yoshida (SEIKO), Hiroyuki Yasuda (UTokyo), Song-Ju Kim (SOBIN), Maki Arai, Mikio Hasegawa (TUS)
In recent years, Bluetooth Low Energy (BLE) has been widely adopted in various IoT devices and has become increasingly p... [more]
CQ
(2nd)
2024-08-28
15:00
Fukushima Tenjin-Misaki Sports Park (Fukushima) [Poster Presentation] Application and Implementation Evaluation of Asynchronous Pulse Code Multiple Access in VLF-Band Communication
Iruru Ouchi (TUS), Ferdinand Peper, Kenji Leibnitz (NICT), Naoki Wakamiya (OU), Kiyoshi Egawa (KEI), Maki Arai, Mikio Hasegawa (TUS)
In recent years, there has been a growing demand for large-scale sensing in underground and underwater environments. Whi... [more]
CQ
(2nd)
2024-08-29
11:00
Fukushima Tenjin-Misaki Sports Park (Fukushima) [Poster Presentation] Implementation and Evaluation of a Collision Avoidance Method for LoRa Devices Based on the Opposite Phase Synchronization Phenomenon of Nonlinear Oscillators
Dai Kojima, Takuma Osada, Maki Arai, Mikio Hasegawa (Tokyo University of Science)
In recent years, Low Power Wide Area-networks (LPWA) that use the sub-GHz band, such as LoRa, have become widely used du... [more]
RCS 2024-06-19
11:40
Okinawa (Okinawa, Online)
(Primary: On-site, Secondary: Online)
A Double Deep Q Network Based Fully Autonomous Distributed Transmission Parameter Selection Method for Mobile IoT Applications
Seiya Sugiyama (UEC), Keigo Makizoe, Maki Arai, Mikio Hasegawa (TUS), Ohtsuki Tomoaki (Keio Univ.), Li Aohan (UEC) RCS2024-37
Packet collisions have emerged as a significant issue with the rapid growth in the number of Internet of Things (IoT) de... [more] RCS2024-37
pp.52-57
SRW, MWPTHz 2024-06-07
13:10
Tokyo Kikai-Shinko-Kaikan Bldg. (Tokyo, Online)
(Primary: On-site, Secondary: Online)
[Invited Lecture] A Study on Optimization of Antenna Array Configuration for Orthogonal Directional MIMO Transmission
Maki Arai, Mikio Hasegawa (Tokyo Univ. of Science) SRW2024-6 MWPTHz2024-6
MIMO (Multiple-Input Multiple-Output) transmission technology enables multiplex communication using multiple transmittin... [more] SRW2024-6 MWPTHz2024-6
pp.28-33
NLP, CCS 2024-06-07
10:55
Fukuoka West Japan General Exhibition Center AIM (Fukuoka) Mathematical model of decision-making by correlated time series via stochastic process
Tomoki Yamagami (UTokyo), Norihiro Okada (TUS), Takatomo Mihana, Ryoichi Horisaki, Makoto Naruse (UTokyo), Mikio Hasegawa (TUS) NLP2024-32 CCS2024-19
It is known that chaotically oscillating time series from a semiconductor laser provides the ability to solve multi-arme... [more] NLP2024-32 CCS2024-19
pp.78-83
CCS 2024-03-27
10:15
Hokkaido RUSUTSU RESORT (Hokkaido) Performance Evaluation of Coupling Models between Oscillators for Desynchronization Desynchronization-type TDMA
Hiroyuki Yasuda (The Univ. of Tokyo), Mikio Hasegawa (Tokyo Univ. of Science), Kazuyuki Aihara (The Univ. of Tokyo) CCS2023-39
 [more] CCS2023-39
pp.1-5
CCS 2024-03-27
11:05
Hokkaido RUSUTSU RESORT (Hokkaido) Implementation of Wireless Spiking Neural Networks with Asynchronous Pulse Code Multiple Access
Haruto Ota, Ryuji Nagazawa, Jiaying Lin, Kien Nguyen (Chiba Univ.), Hiroyuki Torikai (Housei Univ.), Mikio Hasegawa (Tokyo Univ. of Science), Woo-Joo Hwang (Pusan National Univ.), Hiroo Sekiya (Chiba Univ.) CCS2023-41
(To be available after the conference date) [more] CCS2023-41
pp.12-17
SRW, SeMI
(Joint)
2023-11-22
09:30
Tokyo Koganei Campus, Tokyo University of Agriculture and Technology (Tokyo, Online)
(Primary: On-site, Secondary: Online)
[Short Paper] A Study on Port Arrangement of Analog Beamforming Network Using 3-dimensional Luneburg Lens
Maki Arai, Mikio Hasegawa (Tokyo Univ. of Science) SRW2023-34
In this report, we propose a method to design an input/output-port arrangement using a directivity correlation matrix fo... [more] SRW2023-34
p.31
CCS 2023-11-11
16:50
Toyama Toyama Prefectural University (Toyama) An Application of Deep Reinforcement Learning to Link Selection in Optical Satellite Communication Networks
Keigo Makizoe, Maki Arai (TUS), Koji Oshima, Kenji Suzuki (NICT), Mikio Hasegawa (TUS) CCS2023-32
 [more] CCS2023-32
pp.43-46
 Results 1 - 20 of 87  /  [Next]  
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