Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SR |
2024-01-25 13:10 |
Nagano |
Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
Performance Evaluations on Deep Reinfocement Leanring based Analog Beamforming in Dynamic Senarios Daisuke Sasaki, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Umehira Masahiro (Nanzan Univ.) SR2023-72 |
As the development of small cell architecture in B5G networks, on one hand, the frequency utilization efficiency could b... [more] |
SR2023-72 pp.22-24 |
SR |
2024-01-25 13:25 |
Nagano |
Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-73 |
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] |
SR2023-73 pp.25-27 |
MIKA (3rd) |
2023-10-11 14:30 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Interference Suppression Method for Automotive Radar using Machine Learning and Evaluation Experiments Ryoto Koizumi, Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) |
[more] |
|
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 |
SR |
2023-05-11 13:50 |
Hokkaido |
Center of lifelong learning Kiran (Higashi Muroran) (Primary: On-site, Secondary: Online) |
Experimental evaluation on RNN-based inter-radar interference suppression method. Ryoto Koizumi, Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-7 |
[more] |
SR2023-7 pp.41-45 |
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 |
RCS, SR, SRW (Joint) |
2023-03-02 09:25 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
A Study on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nansan Univ.) SRW2022-48 |
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] |
SRW2022-48 pp.25-30 |
RCS, SR, SRW (Joint) |
2023-03-03 09:30 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Short Paper]
Performance Evaluation on Split Learning Assisted Multi-UAV System for Image Classification Task Sun Tingkai, Wang Xiaoyan (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2022-93 |
Due to its ease of deployment and high mobility, unmanned aerial vehicles (UAVs) have gained popularity for a variety of... [more] |
SR2022-93 pp.44-46 |
SANE |
2022-08-19 09:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Impact of hardware imperfections in Chirp Sequence radar using inter-radar interference suppression Takahiro Maruyama (Ibaraki Univ), Masahiro Umehira (Nanzan Univ), Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ) SANE2022-45 |
[more] |
SANE2022-45 pp.68-73 |
SANE |
2022-08-19 10:20 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
SNR Improvement Technique using Adaptive Wideband Interference Suppression for CS radar Takuto Shimura (Ibaraki Univ.), Masahiro Umehira (Ibaraki Univ./Nanzan Univ.), Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ.) SANE2022-47 |
Dense deployment of automotive CS (Chirp Sequence) radars will cause serious inter-radar interference which results in m... [more] |
SANE2022-47 pp.80-85 |
NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 13:30 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
[Short Paper]
Evaluations on RNN-based interference suppression method for CS radar Ryoto Koizumi, Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.), Shigeki Takeda (Ibaraki Univ.) SR2022-39 |
In recent years, high-resolution 77-GHz-band onboard radar has been extensively investigated since its inevitable role i... [more] |
SR2022-39 pp.84-86 |
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 |
SAT, SANE (Joint) |
2022-02-25 15:35 |
Online |
Online |
A Novel Chirp Sequence Radar using Inter-radar Interference Suppression for Spectrum Efficiency Enhancement Takahiro Maruyama, Masahiro Umehira, Yuu Watanabe, Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ.) SANE2021-103 |
[more] |
SANE2021-103 pp.31-36 |
SR |
2022-01-24 17:00 |
Online |
Online |
[Short Paper]
Deep reinforcement learning based secondary user transmit power control for cognitive radio networks Kouhei Katou, Xiaoyan Wang, Masahiro Umehira (Ibaraki Univ) SR2021-66 |
[more] |
SR2021-66 pp.37-39 |
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 |
SANE |
2021-12-16 15:25 |
Chiba |
Chiba University (Primary: On-site, Secondary: Online) |
An Interpolation-based Vehicular Speed Measurement Technique for Chirp Sequence Radar using Narrowband Interference Canceller Takahiro Maruyama (Ibaraki Univ), Masahiro Umehira (Nanzan Univ), Watanabe Yu, Takeda Shigeki, Wang Xiaoyan (Ibaraki Univ) SANE2021-77 |
[more] |
SANE2021-77 pp.79-84 |
SANE |
2021-12-16 16:05 |
Chiba |
Chiba University (Primary: On-site, Secondary: Online) |
Impact of short range interference on automotive FMCW radar using iterative interference reduction scheme and its countermeasures Akari Sakatani, Takuto Shimura (Ibaraki Univ.), Masahiro Umehira (Ibaraki Univ./Nanzan Univ.), Yuu Watanabe, Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ.) SANE2021-79 |
Wide deployment of FMCW (Frequency Modulated Continuous Wave) radar causes inter-radar interference which results in mis... [more] |
SANE2021-79 pp.90-95 |
SANE |
2021-12-16 17:15 |
Chiba |
Chiba University (Primary: On-site, Secondary: Online) |
A Wideband Interference Suppression Scheme for FMCW Radar using Envelope Detection and Sorting based Interference Detection Threshold Control Takuto Shimura (Ibaraki Univ.), Masahiro Umehira (Ibaraki Univ./Nanzan Univ.), Yuu Watanabe, Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ.) SANE2021-82 |
Dense deployment of automotive FMCW radars will cause serious inter-radar interference which results in miss-detection o... [more] |
SANE2021-82 pp.107-112 |
SRW, SeMI, CNR (Joint) |
2021-11-25 09:30 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
A Proposal of Deep Reinforcement Learning based Spectrum Access Method Yuto Teraki, Xiaoyan Wang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SRW2021-29 |
In the Internet of Things (IoT), the shortage of frequency resources becomes a problem when many devices communicate at ... [more] |
SRW2021-29 pp.1-6 |
AP, RCS (Joint) |
2021-11-10 10:25 |
Nagasaki |
NBC-Bekkan (Nagasaki) (Primary: On-site, Secondary: Online) |
Spectrum Efficiency Improvement of DPD based Linearizer using Operation Point Estimation Pilot Signal Atsushi Masubuchi (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.), Xiaoyan Wang, Shigeki Takeda (Ibaraki Univ.) RCS2021-143 |
[more] |
RCS2021-143 pp.1-6 |