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| Presentation | 2019-04-19 10:20 Channel Estimation Using Long-term Channel Statistics for BP-based Large MIMO Detection Takumi Takahashi (Osaka Univ.), Antti Tolli (Univ. of Oulu), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.)  RCS2019-15 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a novel de-noising method for realizing low-complexity channel estimation using long-term channel statistics in belief propagation (BP) based large multi-input multi-output (MIMO) detection. When the channel correlation matrix between the receiver and each user equipment (UE) is available, maximum a-posteriori probability (MAP) estimation using the long-term channel statistics as a prior information achieves the maximum estimation performance in probability theory. However, it requires large-scale matrix operations according to the update of statistical information, which is undesirable due to prohibitively high complexity involved. In order to exploit the prior information with lower computational complexity, the proposed method allows us to improve the signal-to-noise ratio (SNR) on the estimated channel by the optimal de-noising scheme based on the channel correlation matrices. Finally, we demonstrate the validity of our proposed method in terms of the mean square error (MSE), the bit error rate (BER) performance and the computational complexity. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Large MIMO / Channel estimation / Belief propagation / De-noising / Expectation propagation / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 8, RCS2019-15, pp. 67-72, April 2019. | |
| Paper # | RCS2019-15 | |
| Date of Issue | 2019-04-11 (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 | RCS2019-15 |
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| Conference Information | |
| Committee | RCS |
| Conference Date | 2019-04-18 - 2019-04-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Noboribetsu Grand Hotel |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Radio Access Technologies, Wireless Communications, etc. |
| Paper Information | |
| Registration To | RCS |
| Conference Code | 2019-04-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Channel Estimation Using Long-term Channel Statistics for BP-based Large MIMO Detection |
| Sub Title (in English) | |
| Keyword(1) | Large MIMO |
| Keyword(2) | Channel estimation |
| Keyword(3) | Belief propagation |
| Keyword(4) | De-noising |
| Keyword(5) | Expectation propagation |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Takumi Takahashi |
| 1st Author's Affiliation | Osaka University (Osaka Univ.) |
| 2nd Author's Name | Antti Tolli |
| 2nd Author's Affiliation | University of Oulu (Univ. of Oulu) |
| 3rd Author's Name | Shinsuke Ibi |
| 3rd Author's Affiliation | Doshisha University (Doshisha Univ.) |
| 4th Author's Name | Seiichi Sampei |
| 4th Author's Affiliation | Osaka University (Osaka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2019-04-19 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | RCS |
| Paper # | RCS2019-15 |
| Volume (vol) | vol.119 |
| Number (no) | no.8 |
| Page | pp.67-72 |
| #Pages | 6 |
| Date of Issue | 2019-04-11 (RCS) |
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