Compressed Sensing-Based Channel Estimation Methods for LTE-Advanced Multi-User Downlink MIMO System

In this paper, we propose channel estimation methods for LTE (Long Term Evolution)-Advanced system based on compressed sensing. Taking advantage of the fact that typical LTE-Advanced downlink channels are composed of a small number of dominant taps, compressed sensing enables us to take the time-domain approach for the estimation using DM-RS (Demodulation Reference Signal), even when the amount of available DM-RSs to each UE is reduced, given the limited amount of allocated RBs. The effectiveness of the proposed schemes is confirmed through computer simulations, even in the case of dense channels.