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Paper Abstract and Keywords
Presentation 2021-10-21 11:15
A Study on Resource Allocation and Beamforming Design via Geometric Mean Maximization for Cell-free Massive MIMO Systems with Dynamic TDD
Shuto Fukue (UEC), Hiroki Iimori, Giuseppe Abreu (JUB), Koji Ishibashi (UEC) RCS2021-121
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we consider a cell-free multiple-input multiple-output (MIMO) systems operated in a dynamic time division duplex (TDD) mode, proposing a joint antenna allocation and beamforming algorithm with the aim to balance the system throughput and the user fairness. Conventional approaches are designed to maximize either the overall system throughput or the worst-case data rate among users, which are known to possess a trade-off relationship. Aiming to improve both performance and fairness, in this paper we instead consider a system performance maximization with the geometric mean objective. To elaborate, we formulate an optimization problem maximizing the geometric mean of both uplink and downlink user rates, which is then relaxed by successive convex approximations. Numerical simulations are offered to evaluate the proposed algorithm compared with the state-of-the-art methods, showing the superiority of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) Cell-free massive multiple-input multiple-output / dynamic time-division duplexing / geometric mean / convex optimization / fractional programming / convex-concave procedure / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 210, RCS2021-121, pp. 19-24, Oct. 2021.
Paper # RCS2021-121 
Date of Issue 2021-10-14 (RCS) 
ISSN 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)
Download PDF RCS2021-121

Conference Information
Committee RCS  
Conference Date 2021-10-21 - 2021-10-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Wireless Communication Schemes, Wireless Communication Systems, Wireless Standards, Future Wireless Systems, etc. 
Paper Information
Registration To RCS 
Conference Code 2021-10-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Resource Allocation and Beamforming Design via Geometric Mean Maximization for Cell-free Massive MIMO Systems with Dynamic TDD 
Sub Title (in English)  
Keyword(1) Cell-free massive multiple-input multiple-output  
Keyword(2) dynamic time-division duplexing  
Keyword(3) geometric mean  
Keyword(4) convex optimization  
Keyword(5) fractional programming  
Keyword(6) convex-concave procedure  
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Keyword(8)  
1st Author's Name Shuto Fukue  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Hiroki Iimori  
2nd Author's Affiliation Jacobs University Bremen (JUB)
3rd Author's Name Giuseppe Abreu  
3rd Author's Affiliation Jacobs University Bremen (JUB)
4th Author's Name Koji Ishibashi  
4th Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2021-10-21 11:15:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2021-121 
Volume (vol) vol.121 
Number (no) no.210 
Page pp.19-24 
#Pages
Date of Issue 2021-10-14 (RCS) 


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