优化无人机中继位置以降低通信中断概率。
Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization
- 采用有损转发策略，分析系统可达率失真区域。
- 在奈奎斯特-莱斯信道下，系统中断概率显著降低。
- 基于SAC算法实现最优无人机位置自动寻优。
本文分析了采用有损转发（LF）策略的无人机中继通信系统的性能。该系统中，接收端对信息接收存在一定的失真容忍度。首先推导了系统的可达率失真区域；在此基础上，针对奈奎斯特-莱斯（Nakagami-$m$）衰落信道，分析了系统中断概率；最后，设计了一种基于软性动作评价（Soft Actor-Critic, SAC）算法的最优中继位置识别算法，以最小化系统中断概率。仿真结果表明，所提算法能有效优化无人机位置，显著降低系统中断概率。
原文摘要 · Abstract (English)
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.
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