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

arXiv: https://arxiv.org/abs/2410.02120 · HTML: https://mlsanity.com/paper/2410.02120/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 6 of its 20 references that are in the map.
- First posted on arXiv 3 Oct 2024.

## Builds on (most cited first, 6 of 6)

- [Soft Actor-Critic Algorithms and Applications](https://mlsanity.com/paper/1812.05905/) (2018)
- [A Survey of Channel Modeling for UAV Communications](https://mlsanity.com/paper/1801.07359/) (2018)
- [Semantic-Forward Relaying: A Novel Framework Towards 6G Cooperative Communications](https://mlsanity.com/paper/2310.07987/) (2023)
- [SemantIC: Semantic Interference Cancellation Towards 6G Wireless Communications](https://mlsanity.com/paper/2310.12768/) (2023)
- [Scalable Extraction Based Semantic Communication for 6G Wireless Networks](https://mlsanity.com/paper/2407.11334/) (2024)
- [Statistical Age-of-Information Optimization for Status Update over Multi-State Fading Channels](https://mlsanity.com/paper/2303.11153/) (2023)

## Abstract (arXiv)

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.