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Paper Abstract and Keywords
Presentation 2023-07-12 11:15
HAPS Trajectory Optimization Based on Throughput Heat Map
Tatsuya Mori, Tomoaki Ohtsuki (Keio Univ.) RCS2023-82
Abstract (in Japanese) (See Japanese page) 
(in English) The High Altitude Platform Station (HAPS) is a platform that provides communication from the air to user equipment (UE) on the ground by equipping unmanned aerial vehicles (UAVs) flying in the stratosphere with cellular base station capabilities. In this study, we propose a HAPS trajectory optimization method based on a throughput heat map, where the HAPS trajectory is designed considering the trajectory constraints of HAPS as an aircraft. The HAPS trajectory is optimized according to the throughput characteristics to be improved, such as the average throughput of each UE. Computer simulations using actual UE distributions for Tokyo, Osaka, and Nagoya showed that the sub-optimized figure-8 trajectory improved the 50th percentile throughput by 15-16% and the 5th percentile throughput by 3-20% for each city, respectively, compared to the non-optimized circular trajectory. Sub-optimized figure-8 trajectories aimed at improving the 50th, 75th, and 95th percentiles improved throughput characteristics around the 50th percentile, around the 75th-95th percentile, and above the 96th percentile, respectively.
Keyword (in Japanese) (See Japanese page) 
(in English) HAPS / UAV / Beam Control / Trajectory Optimization / Throughput Heat Map / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 108, RCS2023-82, pp. 19-24, July 2023.
Paper # RCS2023-82 
Date of Issue 2023-07-05 (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)
Download PDF RCS2023-82

Conference Information
Committee SeMI RCS RCC NS SR  
Conference Date 2023-07-12 - 2023-07-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Distributed Wireless Network, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc 
Paper Information
Registration To RCS 
Conference Code 2023-07-SeMI-RCS-RCC-NS-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) HAPS Trajectory Optimization Based on Throughput Heat Map 
Sub Title (in English)  
Keyword(1) HAPS  
Keyword(2) UAV  
Keyword(3) Beam Control  
Keyword(4) Trajectory Optimization  
Keyword(5) Throughput Heat Map  
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Keyword(7)  
Keyword(8)  
1st Author's Name Tatsuya Mori  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2023-07-12 11:15:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2023-82 
Volume (vol) vol.123 
Number (no) no.108 
Page pp.19-24 
#Pages 6 
Date of Issue 2023-07-05 (RCS) 

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