Precoding and Phase-Shifting Optimization for Intelligent Reflecting Surface-Assisted Communication
Aiming at the difficult problem that joint optimization of base-station transmission precoding and re-flective surface discrete phase shift parameters for Intelligent Reflecting Surface(IRS)assists multi-user multiple-in-put single-output(MISO)communication system,an IRS-assisted multi-user weighted total rate maximization optimi-zation algorithm is proposed.Firstly,by mathematically modeling the IRS assists communication scenario,considering the discrete characteristics of IRS phase shift parameters,a joint optimization problem of base station transmission pre-coding and IRS phase shift parameters is established with the goal of maximizing the weighted total rate of users.Then the Block Coordinate Descent(BCD)algorithm is used to decouple the problem variables,and finally the base station precoding and IRS phase shift parameters are iteratively solved by Weighted Minimum Mean-Square Error(WMMSE)and Genetic Algorithm(GA).The simulation results show that the convergence performance of the proposed WMMSE-GA algorithm is good.By properly regulating the transmission precoding and IRS phase shift parameters,the IRS can increase the total communication rate of the communication system.
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维普
