Presentation 2022-01-24
[Invited Talk] Deep Learning-based Beamforming and Resource Allocation Optimization for Sub-6GHz/mmWave Integrated Networks
Megumi Kaneko,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SR2021-62
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 ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Deep Learning-based Beamforming and Resource Allocation Optimization for Sub-6GHz/mmWave Integrated Networks
Sub Title (in English)
Keyword(1)
1st Author's Name Megumi Kaneko
1st Author's Affiliation National Institute of Informatics(NII)
Date 2022-01-24
Paper # SR2021-62
Volume (vol) vol.121
Number (no) SR-345
Page pp.pp.17-17(SR),
#Pages 1
Date of Issue 2022-01-17 (SR)