| Presentation | 2022-03-11 A study of distributed MIMO signal detection based on deep unfolding Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes distributed MIMO (Multiple-Input Multiple-Output) signal detection algorithms based on DU (deep unfolding). In our proposed methods, multiple distributed SPUs (sub processing units) communicating with a CPU (central processing unit) cooperatively execute an iterative signal processing process to detect transmitted signals. This architecture achieves better computational load balance among CPU and SPUs. The proposed methods are inspired from federated learning. All SPUs share a common message, e.g., average of the gradients, computed by CPU. In order to improve the performance of the proposed methods, we apply DU to them. DU is a method for optimizing parameters involved in an iterative algorithm by using commonly used techniques in deep learningsuch as backpropagation and stochastic gradient descent. We show experimental results of performance comparison of the proposed methods with minimum mean squared error-based centralized signal detection. The results indicate that the optimization of the parameters by DU significantly improves the detection performance, which is comparable with that of the centralized method in the low signal-to-noise ratio regime. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | deep unfolding / MIMO channel / signal detection / distributed processing |
| Paper # | IT2021-113,ISEC2021-78,WBS2021-81,RCC2021-88 |
| Date of Issue | 2022-03-03 (IT, ISEC, WBS, RCC) |
| Conference Information | |
| Committee | IT / ISEC / RCC / WBS |
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| Conference Date | 2022/3/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Joint Meeting of ISEC, IT, RCC, and WBS |
| Chair | Tadashi Wadayama(Nagoya Inst. of Tech.) / Tetsuya Izu(Fujitsu Labs.) / HUAN-BANG LI(NICT) / Masanori Hamamura(Kochi Univ. of Tech.) |
| Vice Chair | Tetsuya Kojima(Tokyo Kosen) / Noboru Kunihiro(Tsukuba Univ.) / Goichiro Hanaoka(AIST) / Shunichi Azuma(Nagoya Univ.) / Koji Ishii(Kagawa Univ.) / Takashi Shono(INTEL) / Masahiro Fujii(Utsunomiya Univ.) |
| Secretary | Tetsuya Kojima(Saitamai Univ.) / Noboru Kunihiro(Yamaguchi Univ.) / Goichiro Hanaoka(Fujitsu Labs.) / Shunichi Azuma(Ibaraki Univ.) / Koji Ishii(CRIEPI) / Takashi Shono(Osaka Univ.) / Masahiro Fujii(National Defence Academy) |
| Assistant | Masanori Hirotomo(Saga Univ.) / Takahiro Matsuda(AIST) / SHAN LIN(NICT) / Masaki Ogura(Osaka Univ.) / Masayuki Kinoshita(Chiba Univ. of Tech.) / Sun Ran(Ibaraki Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Information Theory / Technical Committee on Information Security / Technical Committee on Reliable Communication and Control / Technical Committee on Wideband System |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A study of distributed MIMO signal detection based on deep unfolding |
| Sub Title (in English) | |
| Keyword(1) | deep unfolding |
| Keyword(2) | MIMO channel |
| Keyword(3) | signal detection |
| Keyword(4) | distributed processing |
| 1st Author's Name | Masaya Kumagai |
| 1st Author's Affiliation | Nagoya Institute Of Technology(NITech) |
| 2nd Author's Name | Ayano Nakai-Kasai |
| 2nd Author's Affiliation | Nagoya Institute Of Technology(NITech) |
| 3rd Author's Name | Tadashi Wadayama |
| 3rd Author's Affiliation | Nagoya Institute Of Technology(NITech) |
| Date | 2022-03-11 |
| Paper # | IT2021-113,ISEC2021-78,WBS2021-81,RCC2021-88 |
| Volume (vol) | vol.121 |
| Number (no) | IT-428,ISEC-429,WBS-430,RCC-431 |
| Page | pp.pp.174-179(IT), pp.174-179(ISEC), pp.174-179(WBS), pp.174-179(RCC), |
| #Pages | 6 |
| Date of Issue | 2022-03-03 (IT, ISEC, WBS, RCC) |