Resource Allocation for Optimizing Energy Efficiency in NOMA-based Fog UAV Wireless Networks

Abstract

Due to their advantages in rapid deployment and miniaturization, UAVs have been widely used in various fields, especially for disaster scenarios which require emergency communications. This article considers a fog UAV wireless network and focuses on improving energy efficiency through subchannel assignment and power allocation. Specifically, in order to make better use of limited spectrum resources, this article considers integrating NOMA which is widely recognized as an emerging transmission technology into UAV wireless networks. On the basis of the proposed UAV network architecture, a two-sided matching and swapping algorithm is proposed to optimize subchannel assignment. We provide a power allocation method to maximize energy efficiency. Simulation results show that the proposed UAV system architecture, as well as the resource allocation method, can prominently improve the energy efficiency of fog UAV wireless networks.