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Paper Abstract and Keywords
Presentation 2023-09-01 09:00
K-Means-Aided Particle Swarm Optimization for Antenna Control in Multi-Cell HAPS System
Wei Dai, Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki (Keio.) RCS2023-116
Abstract (in Japanese) (See Japanese page) 
(in English) High Altitude Platform Stations (HAPS) are considered a solution for providing ultrawide coverage areas and disaster-resilient communication networks. Since one HAPS covers a wide area and the area changes while the HAPS is flying, a HAPS should prevent UEs from suffering network outages and distribute throughput to UEs as evenly as possible. Therefore, instead of applying fixed cell configurations, HAPS uses beamforming techniques to dynamically control the beams to configure cells according to the UE distribution. To achieve this, an optimization-based method is proposed to maximize UE throughput according to an objective function. However, the computational complexity is too high. Some AI-based methods are also proposed which can quickly control beams, but it is not guaranteed that low throughput UEs are exactly minimized. In this paper, we propose a particle swarm optimization (PSO) method to find the antenna parameters that can configure cells to minimize low throughput UEs. This method uses K-means to help PSO redefine the search range for each antenna parameter, thereby increasing the ability to find the optimal solution. We run simulations based on realistic UE distributions in some cities. The results show that our proposed algorithm can reduce more low throughput UEs with low computational complexity.
Keyword (in Japanese) (See Japanese page) 
(in English) HAPS / cell configuration / K-means / particle swarm optimization / beamforming / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 172, RCS2023-116, pp. 73-78, Aug. 2023.
Paper # RCS2023-116 
Date of Issue 2023-08-24 (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 RCS2023-116

Conference Information
Committee RCS SAT  
Conference Date 2023-08-31 - 2023-09-01 
Place (in Japanese) (See Japanese page) 
Place (in English) Naganoken Nokyo Building, and online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Satellite Communications, Broadcasting, Forward Error Correction, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2023-08-RCS-SAT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) K-Means-Aided Particle Swarm Optimization for Antenna Control in Multi-Cell HAPS System 
Sub Title (in English)  
Keyword(1) HAPS  
Keyword(2) cell configuration  
Keyword(3) K-means  
Keyword(4) particle swarm optimization  
Keyword(5) beamforming  
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1st Author's Name Wei Dai  
1st Author's Affiliation Keio University (Keio.)
2nd Author's Name Siyuan Yang  
2nd Author's Affiliation Keio University (Keio.)
3rd Author's Name Mondher Bouazizi  
3rd Author's Affiliation Keio University (Keio.)
4th Author's Name Tomoaki Ohtsuki  
4th Author's Affiliation Keio University (Keio.)
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Speaker Author-1 
Date Time 2023-09-01 09:00:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2023-116 
Volume (vol) vol.123 
Number (no) no.172 
Page pp.73-78 
#Pages
Date of Issue 2023-08-24 (RCS) 


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