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Paper Abstract and Keywords
Presentation 2017-08-18 13:50
Performance Evaluation of User Selection Algorithm for High-SHF-Band Massive MIMO by Using Real Propagation Channel Data
Hiroyuki Miyazaki, Satoshi Suyama, Tatsuki Okuyama, Jun Mashino, Yukihiko Okumura (NTT DOCOMO), Kenji Nakagawa, Kiyoshige Nakamura, Akihiro Okazaki (Mitsubishi Electric) RCS2017-166
Abstract (in Japanese) (See Japanese page) 
(in English) The 5th generation mobile communication system (5G) will introduce the use of higher frequency band with wider bandwidth and Massive MIMO technology for realizing super high bit rate and higher system capacity of more than 10 Gbps. In high-SHF band Massive MIMO, from the point of view of realization, as a novel method for hybrid beamforming (BF) that combines analog BF with digital precoding, joint processing of fixed analog BF and channel state information (CSI)-based precoding (FBCP) has been proposed. Moreover, transmission performance in multiuser conditions mainly depends on inter-user interference, and thus a low-complexity user selection algorithm that selects users from multiple users on maximum throughput criterion has been also proposed for FBCP. On the other hand, it is important to evaluate the proposed algorithms in the real radio channel, because the Massive MIMO performance highly depends on propagation channel characteristics. In this report, we measure propagation channels by using horn antennas that simulate the fixed analog BF in 28 GHz band indoor propagation experiments, and verify the effectiveness of the proposed user selection algorithm by computer simulations using real propagation channel data.
Keyword (in Japanese) (See Japanese page) 
(in English) 5G / high SHF bands / Massive MIMO / hybrid beamforming / propagation channel data / user selection / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 175, RCS2017-166, pp. 123-128, Aug. 2017.
Paper # RCS2017-166 
Date of Issue 2017-08-10 (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)
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Conference Information
Committee RCS SAT  
Conference Date 2017-08-17 - 2017-08-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Niigata Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Satellite Communications, Broadcasting, Error Correction, Wireless Communication Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2017-08-RCS-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of User Selection Algorithm for High-SHF-Band Massive MIMO by Using Real Propagation Channel Data 
Sub Title (in English)  
Keyword(1) 5G  
Keyword(2) high SHF bands  
Keyword(3) Massive MIMO  
Keyword(4) hybrid beamforming  
Keyword(5) propagation channel data  
Keyword(6) user selection  
1st Author's Name Hiroyuki Miyazaki  
1st Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
2nd Author's Name Satoshi Suyama  
2nd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
3rd Author's Name Tatsuki Okuyama  
3rd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
4th Author's Name Jun Mashino  
4th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
5th Author's Name Yukihiko Okumura  
5th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
6th Author's Name Kenji Nakagawa  
6th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
7th Author's Name Kiyoshige Nakamura  
7th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
8th Author's Name Akihiro Okazaki  
8th Author's Affiliation Mitsubishi Electric Corporation (Mitsubishi Electric)
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Date Time 2017-08-18 13:50:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2017-166 
Volume (vol) IEICE-117 
Number (no) no.175 
Page pp.123-128 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2017-08-10 

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