查看文章

In this paper, we consider the uplink transmission between a multi-antenna ground station and an unmanned aerial vehicle (UAV) swarm. The UAVs are assumed as intelligent agents which can adaptively adjust their three dimensional (3D) deployment to maximize the channel capacity of the multiple input multiple output (MIMO) system. Specifically, for the limitations of each UAV in accessing the global information, we consider a decentralized control strategy and divide the optimization problem into several optimization sub-problems, and then formulated into a UAVs channel capacity game. We analyze such game according to the designed reward function and the potential function. Then, we discuss the existence of the pure Nash equilibrium in the game. To achieve the best Nash equilibrium of the MIMO system, we develop a decentralized learning algorithm, namely decentralized UAVs channel capacity …