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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SRW 2023-06-12
14:25
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Invited Lecture] An Analog Beamforming Control Method using Deep Reinforcement Learning
Daisuke Sasaki, Hang Zhou, Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SRW2023-8
As the development of small cell configurations in B5G networks, the frequency utilization efficiency could be significa... [more] SRW2023-8
pp.39-44
RCS, SR, SRW
(Joint)
2023-03-02
09:00
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Performance Evaluation of a Beamforming Control Method Using Deep Reinforcement Learning
Daisuke Sasaki, Hang Zhou (Ibaraki Univ), Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SRW2022-47
As the development of small cell configurations in B5G networks, the frequency utilization efficiency could be significa... [more] SRW2022-47
pp.19-24
NS, ICM, CQ, NV
(Joint)
2022-11-24
14:15
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Research on Anomaly Detection through Analysis of Observed Traffic Using Self-Attention
Yuhang Zhou, Akihiro Nakao (UTokyo) NS2022-108
Nowadays, threat activities have become an integral part of our network lives. The sophistication and variety of differe... [more] NS2022-108
pp.47-52
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-15
13:45
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
[Short Paper] Deep reinforcement learning based analog beamforming for mobile user
hang zhou, Xiaoyan Wang (Ibaraki Univ.), masahiro umehira (Nanzan Univ.), yusheng ji (NII) SR2022-40
 [more] SR2022-40
pp.87-89
SR 2022-01-24
17:15
Online Online [Short Paper] Deep Reinforcement learning based analog beamforming in cellular network
Hang Zhou, Xiaoyan Wang, Masahiro Umehira (ibaraki Univ.) SR2021-67
 [more] SR2021-67
pp.40-42
SR 2021-01-26
10:50
Online Online An radio access control mechanism based on deep reinforcement learning
Hang Zhou, Xiaoyan Wang, Masahiro Umehira (Ibaraki Univ.) SR2020-56
 [more] SR2020-56
pp.52-59
RCS, SR, SRW
(Joint)
2020-03-05
09:25
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
Deep reinforcement learning based access control scheme for radio access networks
Hang Zhou, Xiaoyan Wang, Masahiro Umehira (Ibaraki Univ.) SR2019-123
After a disaster occurred, it is extremely important to reconstruct the network and provide the communication services t... [more] SR2019-123
pp.59-64
 Results 1 - 7 of 7  /   
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