Quantization and noise impact over feedback reduction of MIMO systems using compressive sensing

In this paper we analyze spatially multiplexed MIMO systems with limited Channel State Information (CSI) and zero forcing (ZF) linear signal detection technique. Two schemes were considered: Quantization Codebook (QC) and Compressive Sensing (CS). Compressive Sensing is used to generate a reduced CSI feedback to the transmitter in order to reduce feedback load into the system. Performance of the schemes are compared by computational simulations of bit error rate (BER) curves for the considered approaches QC and CS. Furthermore, the presence of quantization error and noise, in the feedback link, were also evaluated for CS scheme.