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Paper Abstract and Keywords
Presentation 2017-06-23 11:00
Performance Evaluations on Adaptive PAPR Reduction Method Using Null Space of MIMO Channel for Eigenmode Massive MIMO-OFDM Signals
Yuki Matsumoto (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2017-85
Abstract (in Japanese) (See Japanese page) 
(in English) The combination of massive multiple-input multiple-output (MIMO) with beamforming (BF) and orthogonal frequency division multiplexing (OFDM) signaling can achieve high-rate data transmission with wide coverage area thanks to the high BF gain. The drawback to this transmission scheme is its high peak-to-average power ratio (PAPR). High PAPR is due to the transmission power variation among transmission antennas due to BF in addition to the multicarrier-based OFDM signaling. This paper investigates the performance of our previously reported adaptive PAPR reduction method using null space of MIMO channel in the eigenmode massive MIMO-OFDM signals. The adaptive PAPR reduction method using null space of MIMO channel can mitigate the data throughput degradation due to the interference from the PAPR reduction signal generated by the clipping and filtering (CF) algorithm, by restricting the transmission of PAPR reduction signal only to the null space of MIMO channel. In the massive MIMO scenario, since the number of spatial streams is in general much less than that of the transmitter antennas, the effect of the adaptive PAPR reduction method is expected to be enhanced due to the increase in dimension of the null space of MIMO channel. Computer simulation results show that the adaptive PAPR reduction method is effective especially when (i) the number of the transmitter antennas is large, (ii) the required PAPR is low, and (iii) the signal-to-noise ratio (SNR) is high.
Keyword (in Japanese) (See Japanese page) 
(in English) PAPR / OFDM / MIMO / Massive MIMO / Beamforming / Clipping and filtering / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 103, RCS2017-85, pp. 209-214, June 2017.
Paper # RCS2017-85 
Date of Issue 2017-06-14 (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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF RCS2017-85

Conference Information
Committee RCS  
Conference Date 2017-06-21 - 2017-06-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Ishigaki Shoukou Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Resource Control, Scheduling, Wireless Communication Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2017-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluations on Adaptive PAPR Reduction Method Using Null Space of MIMO Channel for Eigenmode Massive MIMO-OFDM Signals 
Sub Title (in English)  
Keyword(1) PAPR  
Keyword(2) OFDM  
Keyword(3) MIMO  
Keyword(4) Massive MIMO  
Keyword(5) Beamforming  
Keyword(6) Clipping and filtering  
1st Author's Name Yuki Matsumoto  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Kiichi Tateishi  
2nd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
3rd Author's Name Kenichi Higuchi  
3rd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Date Time 2017-06-23 11:00:00 
Presentation Time 10 
Registration for RCS 
Paper # IEICE-RCS2017-85 
Volume (vol) IEICE-117 
Number (no) no.103 
Page pp.209-214 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2017-06-14 

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