Compresseci multi-access for MIMO-based Vehicle Communications Network
Advanced Communication Technology（2014）
摘要
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.
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关键词
mimo communication,compressed sensing,iterative methods,mean square error methods,multi-access systems,precoding,signal reconstruction,cs techniques,mimo-based vcn,mse performance,zf based random precoding scheme,central station,compressed multiaccess scheme,compressive sensing techniques,feedback reports,half-blind reconstruction,iterative omp algorithm,iterative orthogonal matching pursuit algorithm,large-scale vehicle communications network,mean square error performance,zero-forcing based random precoding scheme,compressive sensing,mimo,vehicle communications network
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