In vehicle-to-network (V2N) communication, it is a great challenge to remain the communication performance of vehicles at all times in case of the mobility of vehicles. This paper investigates a novel architecture of unmanned aerial vehicle (UAV)-assisted V2N communication, where UAV with caching serves as a carrier of flying base station to jointly communicate with vehicles. The optimization problem is to maximize the minimum rate among vehicles with the constraints of both energy consumption and caching of UAV by jointly optimizing the UAV-vehicle scheduling scheme and the flight trajectory of UAV. The problem with the non-convex and mixed-integer nature is decomposed into two sub-problems, which leads to an efficient iterative algorithm. Numerical results verify the effectiveness of the proposed scheme.

在车辆到网络（V2N）通信中，在车辆移动的情况下始终保持车辆的通信性能是一个巨大的挑战。本文研究了一种新型的无人飞行器（UAV）辅助的V2N通信体系结构，其中带有缓存的UAV充当飞行基站与车辆联合通信的载体。优化问题是通过联合优化无人机的车辆调度方案和无人机的飞行轨迹，在能量消耗和无人机缓存的约束下，使车辆之间的最小速率最大化。具有非凸和混合整数性质的问题被分解为两个子问题，这导致了一种有效的迭代算法。数值结果验证了该方案的有效性。