Energy Efficiency Optimization for Wireless Unmanned Aerial Vehicle Communication Networks: A Bargaining Game Approach

Abstract

Unmanned aerial vehicles (UAVs) have recently found many applications in the field of wireless communications. In particular, UAV-mounted base stations (UAV-BSs) can be used to provide high quality network connectivity and extend coverage in wireless cellular networks. However, for UAVs to be deployed as aerial base stations, the energy-efficiency optimization problem has to be addressed. The optimization of energy consumption is a critical issue to ensure high availability, acceptable performance, and an economically viable UAV-USs deployment. Game theory has recently been adopted as an effective tool for modeling and analyzing challenges in UAV-aided wireless networks. Therefore, in this paper we propose Nash bargaining game (NBG) theory approach for energy-efficiency optimization in UAV-assisted networks. We address the issue of adaptive beaconing period scheduling for UAV-USs using Nash bargaining solution (NBS), which provide optimal beaconing period duration to optimize energy consumption. Extensive simulations are conducted to validate the usefulness of our proposed method.