Channel Capacity for IRS-assist Wireless Communication System for 5G and Beyond

The Smart radio environment or Intelligent Reflecting Surface (IRS) technique is the most arising technology for next-generation wireless standards due to the enriching abilities of the physical layer performance of the communication system. The mathematical framework of various types of channel capacity has been derived depending on the existence of channel state information (CSI) on the transmitter and receiver terminal in the proposed IRS-assist wireless communication system in this article. In this aspect, the Optimal Rate Adaption (ORA), Optimal Power and Rate Adaption (OPRA), Channel Inversion with Fixed Rate (CIFR), and Truncated Channel Inversion with Fixed Rate (TIFR), four various channel capacity policies are introduced here. Next, the combined influence of phase shift and quantization error on the different channel capacities has been observed under the proposed model. We have expressed new and accurate analytical closed-form expressions for every type of channel capacity strategy. Moreover, the accuracy of our analytical derivation has been checked by Monte Carlo simulation results from MATLAB.