A Game Approach for Distributed Channel Selection in UAV Communication Networks

Due to the low cost, easy deployment and high flexibility, unmanned aerial vehicles (UAVs) have attracted much attention for civil and military applications. In this paper, we investigate the problem of channel selection for multiple UAV clusters where UAVs work cooperatively to accomplish tasks in a large area. Firstly, the problem is formulated as a game model to minimize the aggregate interference and decrease channel switching cost. Secondly, we prove the game is an exact potential game which ensures the existence of Nash equilibrium (NE). Thirdly, we solve the game using a distributed way and propose two learning methods with different update rules. Finally, we verify the optimality of proposed algorithms. Comparing with the traditional baseline scheme, we demonstrate the effectiveness of proposed algorithms.