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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PDF Download Page | PDF download Page Link |
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 |
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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 |
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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) |