智能反射面辅助的UAV通信中优化用户和速率方法

A SumRate of Users Optimization Method for Intelligent Reflecting Surface-aided UAV Communication System

作为一种无源器件,智能反射面(intelligent reflecting surface,IRS)能够增强无人机(unmanned aerial vehicle,UAV)通信系统的通信质量。为此,针对IRS-UAV通信系统,提出一种优化用户和速率方法(sum rate of users optimization,SRUO)。先在满足回程链路约束条件下,建立一个联合IRS相移、UAV位置和子信道的分配的多变量优化目标问题。考虑到目标问题的非凸性,将原目标问题分解,再分别利用CVX-Mosek工具和连续凸逼近(successive convex approximation,SCA)算法求解。性能分析表明,提出SRUO算法提高了和速率。

As a passive device,Intelligent Reflecting Surface can enhance the communication quality in Unmanned Aerial Vehicle(UAV)communication system.Therefore,for intelligent reflecting surface-aided UAV communication system,sum rate of users optimization(SRUO)method is proposed.In SRUO method,firstly,considering the constraints of backhaul link,a multi-variable optimization problem is proposed with jointly optimizing the IRS phase shift,UAV placement position and subchannel assignment.Secondly,in consideration of the non-convex target problems,the original target problem is decomposed into various sub-problems.These sub-problems are solved by CVX-Mosek solver and successive convex approximation,respectively.The performance analysis shows that the proposed SRUO algorithm improves the sum rate.