Capacity Optimization in Coding Metasurface-Based Reconfigurable Intelligent Surface-Aided MIMO

In this paper, the channel capacity of a reconfigurable intelligent surface (RIS)-aided multiple-input multiple-output (MIMO) is analyzed. A 1-blt coding metasurface is used to design the RIS. To determine the optimum channel capacity of this RIS-aided MIMO, the water filling algorithm is utilized. During the capacity optimization, it is considered that the transmitter has the full knowledge of channel state information (CSI). Moreover, the optimum channel capacity of the suggested RIS-aided MIMO for variation in the number of elements in the metasurface and signal-to-noise ratio (SNR) are presented.