Compresseci multi-access for MIMO-based Vehicle Communications Network

An efficient and reliable multi-access scheme for large-scale Vehicle Communications Network (VCN) is necessary in future. In this paper, a compressed multi-access scheme is proposed for MIMO-based VCN via compressive sensing (CS) techniques. In particular, a Zero-Forcing (ZF) based random precoding scheme is proposed for vehicles to combine the advantages of MIMO and CS. Correspondingly, an iterative Orthogonal Matching Pursuit (OMP) algorithm is devised for half-blind reconstruction at central station' side. Based on these two sub-schemes, the active vehicles keep sending the precoded symbols until central station decodes successfully and sends back the feedback reports. Simulation results show that, while maintaining a certain level of mean square error (MSE) performance, the proposed multi-access scheme can save the time resources notably when comparing with traditional multi-access schemes.