| Presentation | 2020-12-17 Improvement on Signal Detection Performance with HMC in Massive MIMO Kazushi Matsumura, 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) | In massive MIMO, a new technology for wireless transmission, various approaches to reduce the computational complexity are being studied because increasing the number of antennas causes an increase in computational complexity for signal detection. This paper focuses on one of the approaches, the detection using Markov chain Monte Carlo, and especially studies one with the Hamiltonian Monte Carlo method. Specifically, we tried improving the BER performance by adjusting the Markov chain settings and sample value treatment in line with the signal detection problem. The results showed that the proposed method achieved similar or significantly improved performance than the existing mixed Gibbs sampling method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Signal Detection / Massive MIMO / Markov Chain Monte Carlo (MCMC) |
| Paper # | RCS2020-135 |
| Date of Issue | 2020-12-10 (RCS) |
| Conference Information | |
| Committee | NS / RCS |
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| Conference Date | 2020/12/17(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Multi-hop/Relay/Cooperation, Disaster-resistant wireless network, Sensor/Mesh network, Ad-hoc network, D2D/M2M, Wireless network coding, Handover/AP switching/Connected cell control/Load balancing among base stations/Mobile network dynamic reconfiguration, QoS/QoE assurance, Wireless VoIP, IoT, Edge computing, etc. |
| Chair | Akihiro Nakao(Univ. of Tokyo) / Eiji Okamoto(Nagoya Inst. of Tech.) |
| Vice Chair | Tetsuya Oishi(NTT) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) |
| Secretary | Tetsuya Oishi(NTT) / Fumiaki Maehara(Chuo Univ.) / Toshihiko Nishimura(Kyushu Univ.) / Tomoya Tandai(NEC) |
| Assistant | Shinya Kawano(NTT) / 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 Network Systems / 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) | Improvement on Signal Detection Performance with HMC in Massive MIMO |
| Sub Title (in English) | |
| Keyword(1) | Signal Detection |
| Keyword(2) | Massive MIMO |
| Keyword(3) | Markov Chain Monte Carlo (MCMC) |
| 1st Author's Name | Kazushi Matsumura |
| 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 | 2020-12-17 |
| Paper # | RCS2020-135 |
| Volume (vol) | vol.120 |
| Number (no) | RCS-298 |
| Page | pp.pp.7-12(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (RCS) |