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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 Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 RCS2019-199

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)  
Keyword(1) Massive MIMO  
Keyword(2) Pilot contamination  
Keyword(3) Adaptive array  
Keyword(4) Multi modulus algorithm  
Keyword(5) Channel estimation  
Keyword(6) Decision feedback  
Keyword(7) Beamspace  
1st Author's Name Kazuki Maruta  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Chang-Jun Ahn  
2nd Author's Affiliation Chiba University (Chiba Univ.)
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Date Time 2019-10-25 14:35:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2019-199 
Volume (vol) IEICE-119 
Number (no) no.244 
Page pp.115-120 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2019-10-17 

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