面向UAV协助的CRN吞吐量优化策略

Throughput Optimization Strategy for Unmanned Aerial Vehicles Assistance-Cognitive Radio Networks

利用无人机作为空中移动基站可以有效地提高网络吞吐量,提升对用户的覆盖率。因此,针对无人机协助转发的认知无线电网络(Cognitive Radio Network,CRN)的吞吐量优化问题,提出基于无人机功率分配和最大化主网络区和次网络区吞吐量的算法。首先,分别建立主网络区和次网络区的吞吐量目标函数,再对目标函数进行非凸化处理。然后,再利用对数不等式求解,进而得到最优的UAV发射功率和UAV数量。性能分析表明,提出的吞吐量优化算法提升了主网络区和次网络区吞吐量。

Using the Unmanned Aerial Vehicle(UAV) as a mobile base station in the air can effectively increase the amount of transmitted data and improve the coverage of users.Therefore,for throughput optimization of Cognitive Radio Network(CRN) assisted by UAV,a strategy to maximize the throughput of primary and secondary network regions based on UAV power allocation and numbers of UAV is proposed in this paper.Firstly,the throughput objective function of the primary and secondary network regions is established.And the objective function is dealt with by non-convex.The logarithm inequality is used to solve the objective function.Finally,the optimal power of UAV and numbers of UAV are obtained.The performance analysis shows that the proposed throughput optimization strategy can maximize the network throughput.