Paper Abstract and Keywords |
Presentation |
2021-06-24 10:10
A Study on Low-Complexity Large MIMO Detection Based on Beam-Domain Local LMMSE Filters Takumi Yoshida, Daichi Shirase, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2021-50 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In large multi-input multi-output (MIMO) systems, linear minimum mean square error (LMMSE) filters are often utilized as low-complexity uplink multi-user detection (MUD).However, in large MIMO settings required to operate in high-frequency bands, the LMMSE filtering requires high-dimensional matrix inversion operations, leading to the prohibitively high computational burden.To address this issue, local LMMSE (LLMMSE) detection has been proposed, where a contiguous block of beams can be selected for each user device based on the MSE criterion, assuming digital beamforming at the base station (BS).However, the limited size of the resulting LLMMSE filter also deteriorates the detection capability owing to information loss induced by an excessive dimensionality reduction.To circumvent this issue, we propose to selectively combine the information from the overlapping LLMMSE filters in the bit log-likelihood ratio (LLR) domain.For further enhancing the detection reliability, this method is extended to iterative detection. Numerical results demonstrate the validity of our proposed method by evaluating the bit error rate (BER) performance and the computational cost. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Large MIMO detection / linear MMSE / digital beamforming / local LMMSE / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 72, RCS2021-50, pp. 127-132, June 2021. |
Paper # |
RCS2021-50 |
Date of Issue |
2021-06-16 (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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RCS2021-50 |
Conference Information |
Committee |
RCS |
Conference Date |
2021-06-23 - 2021-06-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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 |
2021-06-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Low-Complexity Large MIMO Detection Based on Beam-Domain Local LMMSE Filters |
Sub Title (in English) |
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Keyword(1) |
Large MIMO detection |
Keyword(2) |
linear MMSE |
Keyword(3) |
digital beamforming |
Keyword(4) |
local LMMSE |
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1st Author's Name |
Takumi Yoshida |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Daichi Shirase |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Takumi Takahashi |
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 |
5th Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-06-24 10:10:00 |
Presentation Time |
10 minutes |
Registration for |
RCS |
Paper # |
RCS2021-50 |
Volume (vol) |
vol.121 |
Number (no) |
no.72 |
Page |
pp.127-132 |
#Pages |
6 |
Date of Issue |
2021-06-16 (RCS) |
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