Compressive Channel Estimation for OFDM Cooperation Networks

In this study, we study compressive channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) modulated Amplify-and-Forward (AF) relay networks. Based upon the mathematical channel model of P2P and sparseness measure function, by using Monte-Carlo runs, we show that the OFDM cooperation convoluted channels also exhibit sparsity. In this study, we propose two compressive channel estimation methods to exploit the inherent sparse structure in multipath fading channels of OFDM cooperation networks with Amplify-and-Forward (AF) relays, Simulation results demonstrate that the proposed compressive channel estimation methods provide significant improvement in mean square error (MSE) performance compared with the conventional channel estimation methods.