Presentation 2022-01-24
[Short Paper] Deep Reinforcement learning based analog beamforming in cellular network
Hang Zhou, Xiaoyan Wang, Masahiro Umehira,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SR2021-67
Date of Issue 2022-01-17 (SR)

Conference Information
Committee SR
Conference Date 2022/1/24(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Suguru Kameda(Hiroshima Univ.)
Vice Chair Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR)
Secretary Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokai Univ.) / Kazuto Yano(NTT)
Assistant Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks)

Paper Information
Registration To Technical Committee on Smart Radio
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Short Paper] Deep Reinforcement learning based analog beamforming in cellular network
Sub Title (in English)
Keyword(1)
1st Author's Name Hang Zhou
1st Author's Affiliation Ibaraki university(ibaraki Univ.)
2nd Author's Name Xiaoyan Wang
2nd Author's Affiliation Ibaraki university(ibaraki Univ.)
3rd Author's Name Masahiro Umehira
3rd Author's Affiliation Ibaraki university(ibaraki Univ.)
Date 2022-01-24
Paper # SR2021-67
Volume (vol) vol.121
Number (no) SR-345
Page pp.pp.40-42(SR),
#Pages 3
Date of Issue 2022-01-17 (SR)