In this paper, we consider an unmanned aerial vehicle (UAV)-enabled emergency communication system, which establishes temporary communication link with users equipment (UEs) in a typical disaster environment with mountainous forest and obstacles. Towards this end, a joint deployment, power allocation, and user association optimization problem is formulated to maximize the total transmission rate, while considering the demand of each UE and the disaster environment characteristics. Then, an alternating optimization algorithm is proposed by integrating coalition game and virtual force approach which captures the impact of the demand priority of UEs and the obstacles to the flight path and consumed power. Simulation results demonstrate that the computation time consumed by our proposed algorithm is only $5.6\%$ of the traditional heuristic algorithms, which validates its effectiveness in disaster scenarios.

翻译：本文研究了一种无人机（UAV）辅助的应急通信系统，该系统在典型的高山森林及障碍物灾害环境中，与用户设备（UE）建立临时通信链路。为此，我们构建了一个联合部署、功率分配及用户关联优化问题，旨在最大化总传输速率，同时考虑每个用户设备的需求及灾害环境特征。随后，提出了一种交替优化算法，该算法融合了联盟博弈与虚拟力方法，能够刻画用户设备需求优先级及障碍物对飞行路径和功耗的影响。仿真结果表明，所提算法消耗的计算时间仅为传统启发式算法的5.6%，验证了其在灾害场景中的有效性。