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Paper Abstract and Keywords
Presentation 2026-05-14 13:30
[Invited Lecture] Distributed Model Predictive Control-Based Trajectory Control for Aerial Base Stations Considering LoS Environment
Haruka Tanaka, Tatsuaki Kimura (Doshisha Univ.) NS2026-24
Abstract (in Japanese) (See Japanese page) 
(in English) UAV-mounted aerial base stations (ABSs) have attracted attention as a promising technology for providing communication services to widely distributed users. However, trajectory control that optimizes communication quality and energy consumption is challenging due to air-to-ground channel characteristics, battery constraints, and inter-cell interference. Moreover, most existing methods rely on offline, centralized control and assume that future channel states and user locations are given in advance, and thus cannot cope with the increased computational cost in large-scale networks. This study proposes an online and distributed trajectory and resource control method for ABSs based on model predictive control (MPC) considering line-of-sight (LoS) conditions. We formulate a joint optimization problem of trajectories, transmit power, and user association to minimize flight time and energy consumption while satisfying cumulative data requirements of users and express it as a distributed MPC problem. Since the resulting problem is non-convex, we develop an efficient algorithm based on successive convex approximation (SCA) and alternating optimization. Finally, simulation results demonstrate the effectiveness of the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) unmanned aerial vehicle / aerial base station / trajectory optimization / distributed model predictive control / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 21, NS2026-24, pp. 37-42, May 2026.
Paper # NS2026-24 
Date of Issue 2026-05-07 (NS) 
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 NS2026-24

Conference Information
Committee NS  
Conference Date 2026-05-14 - 2026-05-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Hakata Kindai Building + Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) High level protocol, Networking technologies (IP and high-layer routing/filtering, Multicast, Quality/Routing control), IP network application technologies (P2P, P4P, Overlay, SIP, NGN), Network system related technologies (System configuration, Interface, Architecture, Hardware/Software/Middleware), Security, Blockchain etc. 
Paper Information
Registration To NS 
Conference Code 2026-05-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Distributed Model Predictive Control-Based Trajectory Control for Aerial Base Stations Considering LoS Environment 
Sub Title (in English)  
Keyword(1) unmanned aerial vehicle  
Keyword(2) aerial base station  
Keyword(3) trajectory optimization  
Keyword(4) distributed model predictive control  
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1st Author's Name Haruka Tanaka  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Tatsuaki Kimura  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2026-05-14 13:30:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2026-24 
Volume (vol) vol.126 
Number (no) no.21 
Page pp.37-42 
#Pages 6 
Date of Issue 2026-05-07 (NS) 

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