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Title
Japanese: 
English:UAV Trajectory Optimization in a Post-Disaster Area Using Dual-Energy-Aware Bandits 
Author
Japanese: AMRALLAH Amr, MOHAMED Ehab Mahmoud, Tran Gia Khanh, 阪口 啓.  
English: Amr Amrallah, Ehab Mahmoud Mohamed, Gia Khanh Tran, Kei Sakaguchi.  
Language English 
Journal/Book name
Japanese: 
English:Sensors 2022 
Volume, Number, Page        
Published date Jan. 20, 2023 
Publisher
Japanese: 
English:MDPI 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Abstract Over the past few years, with the rapid increase in the number of natural disasters, the need to provide smart emergency wireless communication services becomes crucial. Unmanned Aerial Vehicles (UAVs) got high attraction as promising candidates due to their unprecedented capabilities and broad flexibility. In this paper, we investigate the UAV-based emergency wireless communication network for a post-disaster area. Our optimization problem aims to optimize the UAV flight trajectory to maximize the number of visited ground users during the flight period. Then, a dual-cost-aware multi-armed bandit algorithm is adopted to tackle this problem under the limited available energy for both the UAV and ground users. Simulation results show that the proposed algorithm could solve the optimization problem and maximize the achievable throughput under these energy constraints.

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