基于NOMA的无人机群应急通信系统总和速率优化

针对自然灾害后地面基础设施无法有效提供可靠通信的问题，提出基于NOMA的无人机群应急通信系统总和速率优化方案。该方案首先在无人机最大发射功率、地面用户服务质量等约束下，构建一种以地面用户总和通信速率最大化为目标的无人机群辅助应急通信模型；其次，通过改进模拟退火算法实现NOMA机制下无人机功率分配；最后，通过改进K-means算法对地面用户进行聚类，优化无人机与用户的路径损耗及视距链路概率完成无人机3D部署，实现系统总和速率最大化。数值仿真结果验证了所提方案的有效性。

Sum rate optimization for NOMA-based UAVs emergency communication system

To address the problem that ground infrastructure cannot provide emergency communication effectively after natural disasters, a sum rate optimization scheme for unmanned aerial vehicles swarm-assisted emergency communication system based NOMA technology is proposed. Firstly, the scheme constructs a unmanned aerial vehicles swarm-assisted emergency communication model, the model objective of maximizing the total sum communication rate of ground users under the constraints of maximum UAVs transmitting power and quality of service for ground user; Secondly, the power allocation under the NOMA mechanism is implemented by improving the simulated annealing algorithm; Finally, the ground users are clustered by improved K-means algorithm, and then the path loss and line-of-sight link probability between unmanned aerial vehicles and users are optimized for completing the three-dimensional deployment and maximizing the system sum rate. The numerical simulation results verify the effectiveness of the proposed scheme.