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| Presentation | 2020-12-17 11:25 Improvement on Signal Detection Performance with HMC in Massive MIMO Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.)  RCS2020-135 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Signal Detection / Massive MIMO / Markov Chain Monte Carlo (MCMC) / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 298, RCS2020-135, pp. 7-12, Dec. 2020. | |
| Paper # | RCS2020-135 | |
| Date of Issue | 2020-12-10 (RCS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | RCS2020-135 |
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| Conference Information | |
| Committee | NS RCS |
| Conference Date | 2020-12-17 - 2020-12-18 |
| 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. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2020-12-NS-RCS |
| Language | Japanese |
| 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) |
| Keyword(4) | |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2020-12-17 11:25:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2020-135 |
| Volume (vol) | vol.120 |
| Number (no) | no.298 |
| Page | pp.7-12 |
| #Pages | 6 |
| Date of Issue | 2020-12-10 (RCS) |
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