IRS and UAV-IRS co-assisted relay network fair downlink communication scheme
This paper addresses the issues of insufficient fairness for ground users(GUs)and low system flexibility in long-distance relay communication systems by proposing a downlink communication scheme that utilizes both intelligent reflecting surfaces(IRS)and unmanned aerial vehicle-IRS(UAV-IRS)for multi-user fair communication in relay networks.To a-chieve communication fairness in the downlink of this relay network,the scheme jointly optimizes system communication scheduling,time slot allocation parameters,IRS and UAV-IRS reflection phase shift matrices,and UAV-IRS flight trajecto-ries to maximize the minimum throughput among system users.Given that the optimization problem is non-convex,it is de-composed into four non-convex subproblems.Methods such as linear programming(LP),relaxed variables,and successive convex approximations(SCA)are used to solve each subproblem,leading to an approximate solution for the original non-convex problem via alternating optimization(AO).Simulation results indicate that the proposed scheme effectively enhances the minimum throughput for system users while ensuring fairness in multi-user communication.It is also observed that the minimum throughput is influenced by factors such as the number of reflecting elements on IRS and UAV-IRS,UAV-IRS flight trajectories,and the geographical locations of the IRS and relays.
万方数据
维普
