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Paper Abstract and Keywords
Presentation 2020-06-25 11:15
A Study on Loose Beam Forming Using Differential Evolution
Tatsuki Otsuka, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Junichiro Hagiwara, Takanori Sato (Hokkaido Univ.) RCS2020-34
Abstract (in Japanese) (See Japanese page) 
(in English) In multi-user massive MIMO systems, it is concerned that the computational load to form a weight increases drastically as there are often more than 100 antenna elements considered at base stations. Therefore, loose beamforming to select only useful antenna elements has been proposed. In this paper, we propose a new evaluation function to obtain quasi-optimal solutions for the loose beamforming using machine learning. We used binary differential evolution to actually generate the quasi-optimal solutions learned through the proposed evaluation function and the one used in the previous studies, where we compared their performances afterwards using the criteria including downlink sum capacity.As a result, it is shown that the proposed evaluation function performs better than the previous method in that it generates solutions that are less susceptible to interference and have better sum capacity. It is also implied that the problem of loose beamforming is splittable into mutually independent subproblems.
Keyword (in Japanese) (See Japanese page) 
(in English) Massive MIMO / Loose beamforming / Antenna selection / Evaluation function / Binary Differential Evolution / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 74, RCS2020-34, pp. 67-72, June 2020.
Paper # RCS2020-34 
Date of Issue 2020-06-17 (RCS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee RCS  
Conference Date 2020-06-24 - 2020-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2020-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Loose Beam Forming Using Differential Evolution 
Sub Title (in English)  
Keyword(1) Massive MIMO  
Keyword(2) Loose beamforming  
Keyword(3) Antenna selection  
Keyword(4) Evaluation function  
Keyword(5) Binary Differential Evolution  
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1st Author's Name Tatsuki Otsuka  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Toshihiko Nishimura  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takeo Ohgane  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Yasutaka Ogawa  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Junichiro Hagiwara  
5th Author's Affiliation Hokkaido University (Hokkaido Univ.)
6th Author's Name Takanori Sato  
6th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 2020-06-25 11:15:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2020-34 
Volume (vol) IEICE-120 
Number (no) no.74 
Page pp.67-72 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2020-06-17 


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