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 and 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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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) |
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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 |
Keyword(7) |
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Keyword(8) |
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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 |
6 |
Date of Issue |
2021-10-14 (RCS) |