Paper Abstract and Keywords |
Presentation |
2022-01-20 17:20
A Study on AoA Estimation-Aided Bayesian Receiver Design via Bilinear Inference for mmWave Large MIMO Kenta Ito, Takumi Takahashi, Koji Igarashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) IT2021-58 SIP2021-66 RCS2021-226 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We propose a novel joint channel and data estimation (JCDE) scheme for mmWave large multi-user multi-input multi-output (MU-MIMO) systems with short non-orthogonal pilots. A Bayesian JCDE using a Bernoulli-Gaussian (BG) distribution as a prior distribution of beam-domain channels is a well-known strategy for realizing mmWave multi-user detection (MUD) with low-complexity and high-accuracy. However, the mismatch between the BG distribution and the stochastic behavior of the actual mmWave MIMO channels often makes the iterative convergence property of the JCDE algorithm unstable, which degrades the MUD performance significantly. To resolve this issue, we introduce an angle-of-arrival (AoA) estimation mechanism to the channel estimator of the Bayesian JCDE. This makes it possible to improve the channel estimation reliability using the knowledge of antenna steering vectors, and stabilize the convergence behavior of iterative estimation in the early iteration steps. The efficacy of the proposed method over the state-of-the-art is confirmed via computer simulations in terms of normalized square error (NSE) performance and bit error rate (BER) performance. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Large MU-MIMO / belief propagation / joint channel and data estimation / non-orthogonal pilots / AoA estimation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 329, RCS2021-226, pp. 167-172, Jan. 2022. |
Paper # |
RCS2021-226 |
Date of Issue |
2022-01-13 (IT, SIP, 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) |
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IT2021-58 SIP2021-66 RCS2021-226 |
Conference Information |
Committee |
RCS SIP IT |
Conference Date |
2022-01-20 - 2022-01-21 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
RCS |
Conference Code |
2022-01-RCS-SIP-IT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on AoA Estimation-Aided Bayesian Receiver Design via Bilinear Inference for mmWave Large MIMO |
Sub Title (in English) |
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Keyword(1) |
Large MU-MIMO |
Keyword(2) |
belief propagation |
Keyword(3) |
joint channel and data estimation |
Keyword(4) |
non-orthogonal pilots |
Keyword(5) |
AoA estimation |
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1st Author's Name |
Kenta Ito |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Takumi Takahashi |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Koji Igarashi |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
4th Author's Name |
Shinsuke Ibi |
4th Author's Affiliation |
Doshisha University (Doshisha Univ.) |
5th Author's Name |
Seiichi Sampei |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-01-20 17:20:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
IT2021-58, SIP2021-66, RCS2021-226 |
Volume (vol) |
vol.121 |
Number (no) |
no.327(IT), no.328(SIP), no.329(RCS) |
Page |
pp.167-172 |
#Pages |
6 |
Date of Issue |
2022-01-13 (IT, SIP, RCS) |
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