Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems

Unmanned aerial vehicle (UAV) communication has drawn significant interests from the industry and academia due to its low cost, high maneuverability, and on-demand deployment. This paper considers priority-based communication resource coordination in a multi-UAV communication system, where multiple UAVs are operated by a ground base station to perform certain task with a pre-defined trajectory. To ensure the reliable control of multiple UAVs, we formulate the problem as a mixed-integer programming, mainly aiming to maximize the minimum signal-to-noise ratio (SINR) of UAVs by jointly optimizing channel assignment and power allocation under stringent resource availability constraints. To tackle this problem efficiently, we propose an iterative algorithm based on smoothing and alternating optimization. Extensive simulation results demonstrate the efficacy of the proposed algorithm.