Lossy Cooperative UAV Relaying Networks: Outage Probability Analysis and Location Optimization

TL;DR

This paper analyzes the outage probability of lossy cooperative UAV relay networks with Nakagami-m fading and proposes an SAC-based algorithm for optimal relay placement to minimize outages.

Contribution

It derives the achievable rate distortion region and introduces a novel SAC-based algorithm for optimal UAV relay positioning.

Findings

The SAC algorithm effectively reduces outage probability.

The derived rate distortion region characterizes system performance.

Simulation confirms the algorithm's efficiency in UAV placement.

Abstract

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.