Robust Beamforming Design for Cognitive Multicast Enabled by Intelligent Reflective Surface
In order to solve the problem of inaccurate channel state information of the beamforming design for cognitive multicast system enabled by the intelligent reflective surface,a robust optimization method for joint base station active and IRS passive beamforming is proposed.S-procedure and Shure complement lemma are used to deal with the non-convex constraints caused by inaccurate CSI,alternate optimization is adopted to decouple the decision variables,and then a suboptimal method based on alter-nating optimization and penalty convex and concave process is proposed.Simulation results show that the proposed algorithm converges quickly,and even if there is a certain error in channel estimation,the de-ployment of IRS and the use of the proposed algorithm can still significantly improve the performance of cognitive multicast network.
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维普
