Presentation 2022-03-02
Investigation on Beamforming for IRS-Assisted MIMO-OFDM Communication using Machine Learning
Julian Webber, Kazuto Yano, Norisato Suga, Yoshinori Suzuki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) There has recently been considerable interest in intelligent reflective surface (IRS) which can improve the capacity of communications links by facilitating creation of additional communication paths. The performance of an IRS system depends on the accuracy of estimating the channel and hence ability to compute accurate weights which degrade in the presence of interference. Computing the beamformer weights requires high complexity that scales with the array size. Machine learning is a promising technique for learning the multipath environment and computing the optimized weights that achieve almost the same achievable rates as when the channel is known perfectly at the IRS. In this work we investigate the factors affecting IRS performance for an array size of up to 28X28 using software simulation and ray-tracing channel data.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) MIMO-OFDM / intelligent reflective surface (IRS) / ray-tracing / machine-learning / neural network / multi-layer perceptron
Paper # SR2021-86
Date of Issue 2022-02-23 (SR)

Conference Information
Committee RCS / SR / SRW
Conference Date 2022/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Communication Workshop
Chair Eiji Okamoto(Nagoya Inst. of Tech.) / Suguru Kameda(Hiroshima Univ.) / Hanako Noda(Anritsu)
Vice Chair Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT)
Secretary Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Mie Univ.) / Osamu Takyu(Tokai Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hirokazu Sawada
Assistant Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Akihito Noda(Nanzan Univ.)

Paper Information
Registration To Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Investigation on Beamforming for IRS-Assisted MIMO-OFDM Communication using Machine Learning
Sub Title (in English)
Keyword(1) MIMO-OFDM
Keyword(2) intelligent reflective surface (IRS)
Keyword(3) ray-tracing
Keyword(4) machine-learning
Keyword(5) neural network
Keyword(6) multi-layer perceptron
1st Author's Name Julian Webber
1st Author's Affiliation Advanced Telecommunications Research Institute International(ATR)
2nd Author's Name Kazuto Yano
2nd Author's Affiliation Advanced Telecommunications Research Institute International(ATR)
3rd Author's Name Norisato Suga
3rd Author's Affiliation Advanced Telecommunications Research Institute International(ATR)
4th Author's Name Yoshinori Suzuki
4th Author's Affiliation Advanced Telecommunications Research Institute International(ATR)
Date 2022-03-02
Paper # SR2021-86
Volume (vol) vol.121
Number (no) SR-392
Page pp.pp.6-13(SR),
#Pages 8
Date of Issue 2022-02-23 (SR)