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Paper Abstract and Keywords
Presentation 2017-11-09 13:25
[Invited Lecture] Performance Evaluation of User Scheduling Method Based on Channel Capacity Maximization in Massive MIMO
Masanao Sasaki, Kota Igarashi, Sho Okumura, Hiroaki Nakabayashi (Chiba Inst. Tech) AP2017-126 RCS2017-231
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, studies on the 5th generation mobile communication system (5G) are under way, and massive MIMO technology that improves the communication speed by the increasing of antenna elements in base station has been focused. Conventionally, in multi-user MIMO, various user scheduling methods have been proposed and validated in view of the communication quality realized between the base station and the selected users and the calculation amount required for user selection. However, in massive MIMO, the effect of applying these scheduling methods is not sufficiently clarified. In this report, we consider the user scheduling which is based on the channel capacity maximization focused on the relationship of the channels between the users, which is one of the typical scheduling methods, to massive MIMO. We obtain the propagation channel by ray-trace assuming the environment in a street-cell and line-of-sight, calculate the channel capacity when applying the scheduling method based on the channel capacity maximization and the users have been stationary, and perform the evaluation.
Keyword (in Japanese) (See Japanese page) 
(in English) massive MIMO / channel capacity maximization / user scheduling / ray-trace / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 283, AP2017-126, pp. 97-102, Nov. 2017.
Paper # AP2017-126 
Date of Issue 2017-11-01 (AP, 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 AP2017-126 RCS2017-231

Conference Information
Committee AP RCS  
Conference Date 2017-11-08 - 2017-11-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Fukuoka University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To AP 
Conference Code 2017-11-AP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of User Scheduling Method Based on Channel Capacity Maximization in Massive MIMO 
Sub Title (in English)  
Keyword(1) massive MIMO  
Keyword(2) channel capacity maximization  
Keyword(3) user scheduling  
Keyword(4) ray-trace  
1st Author's Name Masanao Sasaki  
1st Author's Affiliation Chiba Institute Of Technology (Chiba Inst. Tech)
2nd Author's Name Kota Igarashi  
2nd Author's Affiliation Chiba Institute Of Technology (Chiba Inst. Tech)
3rd Author's Name Sho Okumura  
3rd Author's Affiliation Chiba Institute Of Technology (Chiba Inst. Tech)
4th Author's Name Hiroaki Nakabayashi  
4th Author's Affiliation Chiba Institute Of Technology (Chiba Inst. Tech)
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Date Time 2017-11-09 13:25:00 
Presentation Time 25 
Registration for AP 
Paper # IEICE-AP2017-126,IEICE-RCS2017-231 
Volume (vol) IEICE-117 
Number (no) no.283(AP), no.284(RCS) 
Page pp.97-102(AP), pp.153-158(RCS) 
#Pages IEICE-6 
Date of Issue IEICE-AP-2017-11-01,IEICE-RCS-2017-11-01 

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