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Phycom S 24 01887 by dilli.ravilla is a document available to read on EtoBox.

This article analyzes the performance of channel estimation in IRS-aided MIMO systems, focusing on the impact of nonlinear distortions and spatially correlated channels. It employs Monte Carlo simulations to evaluate Bit Error Rate (BER) and Normalized Mean Square Error (NMSE) under various Gaussian noise conditions, demonstrating that IRS elements can enhance SNR performance significantly. The study also compares the effectiveness of Least Squares (LS) and Minimum Mean Square Error (MMSE) estimation method

Author

dilli.ravilla

Language

EN