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A novel compressive-sensing based signal multiplexing scheme is proposed inthis paper to further improve the multiplexing gain for multiple input multipleoutput (MIMO) system. At the transmitter side, a Gaussian random measurementmatrix in compressive sensing is employed before the traditional spatialmultiplexing in order to carry more data streams on the available spatialmultiplexing streams of the underlying MIMO system. At the receiver side, it isproposed to reformulate the detection of the multiplexing signal into twosteps. In the first step, the traditional MIMO equalization can be used torestore the transmitted spatial multiplexing signal of the MIMO system. Whilein the second step, the standard optimization based detection algorithm assumedin the compressive sensing framework is utilized to restore the CS multiplexingdata streams, wherein the exhaustive over-complete dictionary is used toguarantee the sparse representation of the CS multiplexing signal. In order toavoid the excessive complexity, the sub-block based dictionary and thesub-block based CS restoration is proposed. Finally, simulation results arepresented to show the feasibility of the proposed CS based enhanced MIMOmultiplexing scheme. And our efforts in this paper shed some lights on thegreat potential in further improving the spatial multiplexing gain for the MIMOsystem.

A Novel Compressive Sensing based Enhanced Multiplexing Scheme for MIMO System