自能量回收的全双工无人机中继资源分配  

Resource Allocation for Full-duplex UAV Relaying with Self-energized Technology

作　　者：许钧智 李陶深[1,2] 葛志辉 XU Junzhi;LI Taoshen;GE Zhihui(School of Computer and Electronic Information,Guangxi University,Nanning 530004,China;School of Information Engineering,Nanning University,Nanning 530200,China)

机构地区：[1]广西大学计算机与电子信息学院,南宁530004 [2]南宁学院信息工程学院,南宁530200

出　　处：《小型微型计算机系统》2024年第7期1763-1769,共7页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61762010)资助。

摘　　要：针对多用户场景中无人机中继在能量受限时工作性能下降,常规优化算法未能权衡能量收集与信息解码的问题,设计一种基于无线携能通信技术的全双工自能量回收无人机中继系统,提出一种以最大化系统吞吐量为目标,联合优化时隙调度、中继发射功率和功率分裂比的分配算法.针对原问题是非凸问题,算法采用块坐标下降法将联合优化问题分解为3个子问题,然后通过连续凸逼近的方法求出最优用户调度、最优发射功率和最优功率分裂比,得到原问题的次优解.实验结果表明,能量受限时自回收中继系统吞吐量性能优于常规中继系统;联合优化算法能更好地权衡能量收集与信息解码,最大限度提高系统吞吐量性能.In view of the declining working performance of UAV relay in multi-user scenarios when energy is limited and the conventional optimization algorithm fails to weigh the energy collection and information decoding,A full-duplex UAV relay system based on self-energy recovery is designed,and an allocation algorithm is proposed to jointly optimize the slot scheduling,relay transmission power and power splitting ratio to maximize the system throughput.The original problem is a non-convex problem with multiple coupling variables.Block Coordinate Descent method is used to decompose the joint optimization problem into three sub-problems,and then the optimal user scheduling,the optimal transmission power and the optimal power splitting ratio are obtained by using Sucessive Convex Approximation method,and the suboptimal solution of the original problem is obtained.The results show that the throughput performance of the self-recycling relay system is better than that of the conventional relay system when the energy is limited,and the joint optimization algorithm can better balance the energy harvesting and information decoding to maximize the throughput performance of the system.

关 键 词：无线携能通信 全双工 自能量回收 功率分配 无人机通信 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]