Design of Intelligent Reflecting Surfaces-Assisted mmWave Systems for Proximity-Based Users

This paper considers an intelligent reflecting surface (IRS)-assisted millimeter wave (mmWave) communication system. It presents a novel system model design that allows proximity users to achieve optimal phase shifts and improve the overall system performance. The performance gain achieved through the proposed design is evaluated under different practical scenarios: (i) system under deviation angles, (ii) system under deviation angles and beam misalignment, and (iii) system under deviation angles, beam misalignment, and phase shift quantization errors. In addition, the system performance achieved under the proposed design is compared with the existing strategies, including blind phase shifting and IRS partitioning. The comparison highlights the effectiveness of the proposed design, especially within the context of mmWave communication systems where the signal-to-noise ratio is high.