| Presentation | 2018-01-22 [Encouragement Talk] A Study on Criterion of Adaptively Scaled Belief for Large MIMO Detection Based on Belief Propagation Takumi Takahashi, Shinsuke Ibi, Seiichi Sampei, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a new design criterion of adaptively scaled belief (ASB) in Gaussian belief propagation (GaBP) and probabilistic data association (PDA), especially for large multiuser multiple-input multiple-output (MU-MIMO) detection. In practical MU detection (MUD) scenarios, the most vital issue with regard to improving the iterative convergence property of BP-based algorithms is how to deal with approximation errors due to the fact that the law of large numbers does not work well. As the simplest way to suppress the harmful impacts of approximation errors, a novel adaptive belief scaling is proposed while stabilizing dynamics of random MIMO channels. Finally, the validity of ASB for the BP-based iterative detection is confirmed regarding the suppression of bit error rate (BER) floor level by computer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | belief propagation / Gaussian belief propagation / probabilistic data association / iterative detection / scaling / large MU-MIMO |
| Paper # | IT2017-59,SIP2017-67,RCS2017-273 |
| Date of Issue | 2018-01-15 (IT, SIP, RCS) |
| Conference Information | |
| Committee | SIP / IT / RCS |
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| Conference Date | 2018/1/22(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sunport Hall Takamatsu |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Masahiro Okuda(Univ. of Kitakyushu) / Masayoshi Ohashi(Fukuoka Univ.) / Hidekazu Murata(Kyoto Univ.) |
| Vice Chair | Shogo Muramatsu(Niigata Univ.) / Naoyuki Aikawa(TUS) / Jun Muramatsu(NTT) / Yukitoshi Sanada(Keio Univ.) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) |
| Secretary | Shogo Muramatsu(Chiba Inst. of Tech.) / Naoyuki Aikawa(Takushoku Univ.) / Jun Muramatsu(Yokohama College of Commerce) / Yukitoshi Sanada(UEC) / Eisuke Fukuda(Toshiba) / Satoshi Suyama(Hokkaido Univ.) |
| Assistant | Masayoshi Nakamoto(Hiroshima Univ.ひろ) / Sigeaki Kuzuoka(wakayama univ.) / Tetsuya Yamamoto(Panasonic) / Koichi Ishihara(NTT) / Kazushi Muraoka(NEC) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) |
| Paper Information | |
| Registration To | Technical Committee on Signal Processing / Technical Committee on Information Theory / 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) | [Encouragement Talk] A Study on Criterion of Adaptively Scaled Belief for Large MIMO Detection Based on Belief Propagation |
| Sub Title (in English) | |
| Keyword(1) | belief propagation |
| Keyword(2) | Gaussian belief propagation |
| Keyword(3) | probabilistic data association |
| Keyword(4) | iterative detection |
| Keyword(5) | scaling |
| Keyword(6) | large MU-MIMO |
| 1st Author's Name | Takumi Takahashi |
| 1st Author's Affiliation | Osaka University(Osaka Univ.) |
| 2nd Author's Name | Shinsuke Ibi |
| 2nd Author's Affiliation | Osaka University(Osaka Univ.) |
| 3rd Author's Name | Seiichi Sampei |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| Date | 2018-01-22 |
| Paper # | IT2017-59,SIP2017-67,RCS2017-273 |
| Volume (vol) | vol.117 |
| Number (no) | IT-394,SIP-395,RCS-396 |
| Page | pp.pp.25-30(IT), pp.25-30(SIP), pp.25-30(RCS), |
| #Pages | 6 |
| Date of Issue | 2018-01-15 (IT, SIP, RCS) |