Achievable Rate with Correlated Hardware Impairments in Large Intelligent Surfaces

Large intelligent surface (LIS) is a new technology yet to be developed. However, this technology is likely to be implemented using cheap components so as to facilitate its deployment. Therefore, we can expect a performance degradation due to hardware impairments. In this paper, we present a model for these hardware impairments in a receiving LIS and we analyze their effect on the achievable rate using a simplified receiver structure. We study the effect of the correlation structure of these impairments by modeling this correlation as a function of the distance between the considered points of the LIS. We present numerical results, as well as closed form formulas, in order to get a general intuition on the problem.