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| Presentation | 2022-06-16 14:30 Comparison of Performance and Complexity for different Search Methods in Stochastic MIMO Signal Detection Hiroki Asumi, Yukiko Kasuga, Kazushi Matsumura, Junichiro Hagiwara, Toshihiko Nishimura, Takanori Sato, Yasutaka Ogawa, Takeo Ohgane (Hokkaido Univ.)  RCS2022-49 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In large-scale MIMO signal detection, the computational complexity increases as the number of antennas increases. We have proposed several approaches to reduce computational complexity while maintaining detection performance as much as possible by applying a mixed normal distribution to the prior distribution in a stochastic problem setting to solve this problem. This study compares the computational complexity and detection performance of the Hamiltonian Monte Carlo method, variational Bayesian method, and L-BFGS method in this framework. The results show that the detection performance of each method differs due to the mechanism of initial value change and the handling of the gradient information for the log-posterior probability density in the algorithm. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | MIMO / Signal detection / Hamiltonian Monte Carlo / Variational Bayesian method / L-BFGS / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 73, RCS2022-49, pp. 150-155, June 2022. | |
| Paper # | RCS2022-49 | |
| Date of Issue | 2022-06-08 (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 | RCS2022-49 |
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| Conference Information | |
| Committee | RCS |
| Conference Date | 2022-06-15 - 2022-06-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | University of the Ryukyus, Senbaru Campus and online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2022-06-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of Performance and Complexity for different Search Methods in Stochastic MIMO Signal Detection |
| Sub Title (in English) | |
| Keyword(1) | MIMO |
| Keyword(2) | Signal detection |
| Keyword(3) | Hamiltonian Monte Carlo |
| Keyword(4) | Variational Bayesian method |
| Keyword(5) | L-BFGS |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Hiroki Asumi |
| 1st Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name | Yukiko Kasuga |
| 2nd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name | Kazushi Matsumura |
| 3rd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name | Junichiro Hagiwara |
| 4th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 5th Author's Name | Toshihiko Nishimura |
| 5th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 6th Author's Name | Takanori Sato |
| 6th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 7th Author's Name | Yasutaka Ogawa |
| 7th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 8th Author's Name | Takeo Ohgane |
| 8th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-06-16 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2022-49 |
| Volume (vol) | vol.122 |
| Number (no) | no.73 |
| Page | pp.150-155 |
| #Pages | 6 |
| Date of Issue | 2022-06-08 (RCS) |
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