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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/19997

タイトル: Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
著者: Lian, Ya
Lin, Wensheng
Li, Lixin
Yang, Fucheng
Han, Zhu
Matsumoto, Tad
キーワード: Outage probability
unmanned aerial vehicle
lossy-forward
relay
reinforcement learning
発行日: 2024-12-08
出版者: Institute of Electrical and Electronics Engineers (IEEE)
誌名: 2024 IEEE Globecom Workshops (GC Wkshps)
開始ページ: 1
終了ページ: 6
DOI: 10.1109/GCWkshp64532.2024.11101027
抄録: In this paper, performance of a lossy cooperative unmanned aerial vehicle (UAV) relay communication system is analyzed. In this system, the UAV relay adopts lossy forward (LF) strategy and the receiver has certain distortion requirements for the received information. For the system described above, we first derive the achievable rate distortion region of the system. Then, on the basis of the region analysis, the system outage probability when the channel suffers Nakagami-m fading is analyzed. Finally, we design an optimal relay position identification algorithm based on the Soft Actor-Critic (SAC) algorithm, which determines the optimal UAV position to minimize the outage probability. The simulation results show that the proposed algorithm can optimize the UAV position and reduce the system outage probability effectively.
Rights: This is the author's version of the work. Copyright (C) 2024 IEEE. 2024 IEEE Globecom Workshops (GC Wkshps), Cape Town, South Africa, pp. 1-6. DOI: https://doi.org/10.1109/GCWkshp64532.2024.11101027. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/10119/19997
資料タイプ: author
出現コレクション:b11-1. 会議発表論文・発表資料 (Conference Papers)

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