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Paper Abstract and Keywords
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
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

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)  
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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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