Reducing Impact of Doppler Effect by Employing Distributed Compressive Sensing

Channel state information (CSI) is essential in a 5G wireless network since this information has to be utilized while doing beamforming and equalization in a massive multiple-input multiple-output (MIMO) system. Due to the mobility of the user, the channel will change continuously; therefore, the acquisition of CSI will become challenging. Orthogonal frequency division multiplexing (OFDM) is well known multicarrier scheme to enhance data rates and improve spectrum efficiency of the MIMO system. Although with OFDM based system, because of mobility, a strong interference can distort the received signal and produce a leakage effect. However, OFDM systems suffer strong interference due to mobility resulting in distortion of the received signal and leakage effect. In order to mitigate interference and leakage problems, this research work employs a distributed compressive sensing-based framework. Besides that, by exploiting the distributed joint sparsity, pilot overhead and system complexity are also reduced.