Dynamic Unmanned Aerial Vehicle Selection via Evolutionary Game

Abstract

Unmanned aerial vehicle assisted (UAV-assisted) wireless communication network is a promising paradigm of wireless communication network. In this paper, we apply the evolutionary game to the UAV selection process of ground user equipment (UE). Specifically, we first establish a UAV-assisted uplink wireless communication model, and then we use replicator dynamics to describe the process of evolution game. Finally, we propose a dynamic UAV selection algorithm based on evolutionary game with low computation complexity. The numerical results prove the effectiveness of our developed algorithm in UAV-assisted wireless communication network.