能量收集增强型无人机中继辅助传输设计

UAV Relay Assisted Transmission Design Enhanced by Energy Harvesting

针对无人机(Unmanned Aerial Vehicles,UAV)中继辅助通信系统中,源和目的节点之间的信息传输由于大尺度衰落等原因故需要无人机作为中继进行辅助完成,其中无人机中继采用时间切换和功率分配的方式进行能量收集(Energy Harvesting,EH),且利用最大化系统链路信噪比的无人机中继选择策略。利用概率密度函数分析法推导了终端在收到无人机中继传输的信息后,受到环境中聚合干扰情况下,系统的中断概率闭合表达式。在此基础上利用Q函数得到了系统的误码率。此外分析了终端在受到聚合干扰以及延迟受限状态下系统的中断概率和吞吐量。结果表明所提出的比例因子、发射功率和无人机中继选择的多参数联合优化可有效提升系统的吞吐量并降低系统的中断概率和误码率。仿真验证了所提方案的有效性和理论分析的正确性,联合优化方案可以有效地提升系统性能。

Due to large-scale fading in UAV relay assisted communication system,the information transmission between the source node and the destination node needed UAV as a relay.UAV relay adopted the time switch and power allocation to complete the energy harvesting(EH).Moreover,the relay selection strategy of maximizing the signal-to-noise ratio of UAV system link and the probability density function analysis method were used to derive the closed expression of outage probability with the aggregated interference in environment when the terminal received the information sent by UAV relay.On this basis,the bit error rate of system was obtained by Q function.In addition,the outage probability and throughput of the system under the aggregated interference and delay limitation were analyzed.The results show that the proposed multi-parameter joint optimization based on scaling factor,transmit power and UAV relay selection can effectively improve the system throughput and reduce the outage probability and bit error rate.Simulation experiments verify the effectiveness of the proposed scheme and the correctness of theoretical analysis.Therefore,the joint optimization can effectively improve the system performance.