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- W2045862607 abstract "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." @default.
- W2045862607 created "2016-06-24" @default.
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- W2045862607 date "2014-02-01" @default.
- W2045862607 modified "2023-09-26" @default.
- W2045862607 title "Compresseci multi-access for MIMO-based Vehicle Communications Network" @default.
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- W2045862607 doi "https://doi.org/10.1109/icact.2014.6779102" @default.
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