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Paper Abstract and Keywords
Presentation 2017-06-23 11:10
Investigations on Transmitter Beamforming Control Based on Firefly Algorithm in Massive MIMO Systems with Per-Antenna Power Constraint for System Throughput Maximization
Kento Kawai, Takashi Yamanaka (Tokyo Univ. of Science), Kiichi Tateishi (NTT DOCOMO), Kenichi Higuchi (Tokyo Univ. of Science) RCS2017-86
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we investigate the transmitter beamforming (BF) control based on the firefly algorithm (FA) in massive multiple-input multiple-output (MIMO) downlink with per-antenna power constraint, aiming at the maximization of the variously defined system throughput. In massive multiple-input multiple-output (MIMO) downlink, the transmitter BF to achieve the beamforming (power) gain and/or reduction in inter-user interference in multiuser MIMO case based on the channel state information (CSI) is essential. Massive MIMO requires large number of transmitter power amplifiers dedicated to each of transmitter antennas and allowable transmission power per power amplifiers (thus per transmitter antenna) is to be severely limited. Therefore, it is necessary to perform transmission BF in consideration of the limitation on the transmission power per antenna, which is in general difficult problem to solve. In this paper, we apply our previously reported BF control using the FA under various definitions of the system throughput considering the tradeoff between the frequency efficiency and user fairness. By setting the BF matrix as a position of the firefly and the obtainable metric for the system throughput maximization as a brightness of the firefly, we apply the FA to the BF control. We evaluate the performance of BF control using FA when the system throughput is as the arithmetic mean, geometric mean, harmonic mean, and minimum user throughput by using computer simulations and compare them with the case using conventional zero forming (ZF)-based BF.
Keyword (in Japanese) (See Japanese page) 
(in English) Massive MIMO / beamforming / firefly algorithm / system throughput / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 103, RCS2017-86, pp. 215-220, June 2017.
Paper # RCS2017-86 
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 RCS2017-86

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) Investigations on Transmitter Beamforming Control Based on Firefly Algorithm in Massive MIMO Systems with Per-Antenna Power Constraint for System Throughput Maximization 
Sub Title (in English)  
Keyword(1) Massive MIMO  
Keyword(2) beamforming  
Keyword(3) firefly algorithm  
Keyword(4) system throughput  
1st Author's Name Kento Kawai  
1st Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
2nd Author's Name Takashi Yamanaka  
2nd Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
3rd Author's Name Kiichi Tateishi  
3rd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
4th Author's Name Kenichi Higuchi  
4th Author's Affiliation Tokyo University of Science (Tokyo Univ. of Science)
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Date Time 2017-06-23 11:10:00 
Presentation Time 10 
Registration for RCS 
Paper # IEICE-RCS2017-86 
Volume (vol) IEICE-117 
Number (no) no.103 
Page pp.215-220 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2017-06-14 

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