Paper Abstract and Keywords |
Presentation |
2019-10-25 14:35
[Invited Lecture]
M-QAM Adaptation by Semi-Blind Multi Modulus Algorithm and MMSE-SMI for Multicell Massive MIMO Systems Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-199 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper expands our previously proposed semi-blind uplink interference suppression scheme on multicell multiuser massive MIMO systems to support multi modulus signals. The original proposal applies channel state information (CSI) aided blind adaptive array (BAA) interference suppression after the beamspace preprocessing and decision feedback channel estimation (DFCE). It employed the constant modulus algorithm (CMA) as the BAA scheme which can fully exploit the degree of freedom (DoF) of massive antenna arrays to suppress both inter-user interference (IUI) and inter-cell interference (ICI). Its effectiveness has been verified under the extensive pilot contamination constraint. Unfortunately, CMA basically works well only for the constant envelope signal such as QPSK and thus the proposed scheme should be expanded to cover QAM signals for more general use. This paper newly proposes to apply multi modulus algorithm (MMA) and data-aided sample matrix inversion based minimum mean square error (MMSE-SMI) weight derivation. It can successfully realize interference suppression under the use of multi-level envelope signals such as 16QAM. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Massive MIMO / Pilot contamination / Adaptive array / Multi modulus algorithm / Channel estimation / Decision feedback / Beamspace / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 244, RCS2019-199, pp. 115-120, Oct. 2019. |
Paper # |
RCS2019-199 |
Date of Issue |
2019-10-17 (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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RCS2019-199 |
Conference Information |
Committee |
RCS |
Conference Date |
2019-10-24 - 2019-10-25 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Yokosuka Research Park |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc. |
Paper Information |
Registration To |
RCS |
Conference Code |
2019-10-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
M-QAM Adaptation by Semi-Blind Multi Modulus Algorithm and MMSE-SMI for Multicell Massive MIMO Systems |
Sub Title (in English) |
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Massive MIMO |
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Pilot contamination |
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Adaptive array |
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Multi modulus algorithm |
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Channel estimation |
Keyword(6) |
Decision feedback |
Keyword(7) |
Beamspace |
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1st Author's Name |
Kazuki Maruta |
1st Author's Affiliation |
Chiba University (Chiba Univ.) |
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Chang-Jun Ahn |
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Chiba University (Chiba Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-10-25 14:35:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2019-199 |
Volume (vol) |
vol.119 |
Number (no) |
no.244 |
Page |
pp.115-120 |
#Pages |
6 |
Date of Issue |
2019-10-17 (RCS) |
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