| Presentation | 2021-06-23 A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection Hiroki Asumi, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Signal detection in massive MIMO has difficulty in reducing computational complexity as the number of antennas increases.It is well known that naive application of maximum likelihood decoding causes unrealistic complexity.This report studies the applicability of the stochastic variational Bayesian method as an approach to reduce computational complexity.While the variational Bayesian method approximates the target distribution by minimizing the Kullback-Leibler divergence, the existing expectation propagation method can also be interpreted similarly.We have compared the detection performance and computational complexity between both methods．As a result, we have found that the variational Bayesian method achieves better detection performance in many cases than the expectation propagation method with a polynomial order complexity, while it is computationally more expensive than the expectation propagation method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Massive MIMO / Signal Detection / Expectation Propagation Method / Variational Bayesian Method |
| Paper # | RCS2021-30 |
| Date of Issue | 2021-06-16 (RCS) |
| Conference Information | |
| Committee | RCS |
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| Conference Date | 2021/6/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) |
| Vice Chair | Fumihide Kojima(NICT) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) |
| Secretary | Fumihide Kojima(Panasonic) / Toshihiko Nishimura(NEC) / Tomoya Tandai |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection |
| Sub Title (in English) | |
| Keyword(1) | Massive MIMO |
| Keyword(2) | Signal Detection |
| Keyword(3) | Expectation Propagation Method |
| Keyword(4) | Variational Bayesian Method |
| 1st Author's Name | Hiroki Asumi |
| 1st Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 2nd Author's Name | Junichiro Hagiwara |
| 2nd Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 3rd Author's Name | Toshihiko Nishimura |
| 3rd Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 4th Author's Name | Takeo Ohgane |
| 4th Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 5th Author's Name | Yasutaka Ogawa |
| 5th Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| 6th Author's Name | Takanori Sato |
| 6th Author's Affiliation | Hokkaido University(Hokkaido Univ.) |
| Date | 2021-06-23 |
| Paper # | RCS2021-30 |
| Volume (vol) | vol.121 |
| Number (no) | RCS-72 |
| Page | pp.pp.7-12(RCS), |
| #Pages | 6 |
| Date of Issue | 2021-06-16 (RCS) |