Robust Secure Resource Allocation Algorithm for Intelligent Reflecting Surface-assisted Multi-antenna Communication Systems
To solve the problem of low security and poor transmission quality in cellular communication systems caused by eavesdroppers,obstacles and channel uncertainties,a robust secure resource allocation algorithm for Intelligent Reflecting Surface(IRS)-assisted multi-antenna communication systems is proposed.Firstly,a robust resource allocation problem with bounded channel uncertainties is formulated by jointly optimizing the active beam of the base station,the passive beam of the IRS,meanwhile the secure rate constraint of legitimate users,the maximum transmit power constraint and the phase shift constraint of the IRS are considered.Then,the original non-convex problem with parametric perturbation is transformed using S-procedure,successive convex approximation,alternating optimization and penalty function to obtain a deterministic convex optimization problem that can be solved directly.Finally,an iteration-based robust energy efficiency maximization algorithm is proposed.Simulation results show that the proposed algorithm has good energy efficiency and strong robustness.
Intelligent Reflecting Surface(IRS)Multi-antenna communication systemsRobustnessSecure communication