Performance Analysis of Frequency Channel Allocation Algorithms for Multi-Cell UAV Communications in Cellular Networks

In unmanned aerial vehicle (UAV)-assisted communication system, communication can be aided by the deployment of U A V to lighten the load on the base station (BS). In this paper, a comparative analysis of several frequency channel allocation algorithms about network capacity in multi - cell UA V communications in cellular networks is presented. Based on the average network capacity, we examine the performance of four different frequency allocation algorithms. The model employs four different frequency allocation algorithms in the multi-cell UAV communications in cellular networks. They are Integer Frequency Reuse (IFR), Fractional Frequency Reuse (FFR), Simultaneous Water Filling (SWF), Transmit Interference Temperature Limit (tx-ITL), and Forward-Looking Game (FLG). The analyzation keeps all parameters fixed, including SNR, simulation number, etc. The simulation shows that the performance of FLG is much better than other three methods and indicates that single algorithm can be optimized after being combined with FFR.