Robust Probabilistic-Constrained Optimization for IRS-Aided MISO Communication Systems

Taking into account imperfect channel state information, this letter formulates and solves a joint active/passive beamforming optimization problem in multiple-input single-output systems with the support of an intelligent reflecting surface. In particular, we introduce to minimize total transmit power subject maintaining users' signal-to-interference-plus-noise-ratio coverage probability above predefined target. Due presence probabilistic constraints, proposed is non-convex. To circumvent issue, first recast convex form by adopting Bernstein-type inequality, then converging alternating approach iteratively find vectors. transformed robust can be effectively solved using standard interior-point methods. Numerical results demonstrate effectiveness jointly optimizing