• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A New Compressive Feedback Scheme Based on Distributed Compressed Sensing for Time-Correlated MIMO Channel

Vol. 6, No. 2, February 27, 2012
10.3837/tiis.2012.02.008, Download Paper (Free):

Abstract

In this paper, a new compressive feedback (CF) scheme based on distributed compressed sensing (DCS) for time-corrected MIMO channel is proposed. First, the channel state information (CSI) is approximated by using a subspace matrix, then, the approximated CSI is compressed using a compressive matrix. At the base station, the approximated CSI can be robust recovered with simultaneous orthogonal matching pursuit (SOMP) algorithm by using forgone CSIs. Simulation results show our proposed DCS-CF method can improve the reliability of system without creating a large performance loss.


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Cite this article

[IEEE Style]
Y. Li and R. Song, "A New Compressive Feedback Scheme Based on Distributed Compressed Sensing for Time-Correlated MIMO Channel," KSII Transactions on Internet and Information Systems, vol. 6, no. 2, pp. 580-592, 2012. DOI: 10.3837/tiis.2012.02.008.

[ACM Style]
Yongjie Li and Rongfang Song. 2012. A New Compressive Feedback Scheme Based on Distributed Compressed Sensing for Time-Correlated MIMO Channel. KSII Transactions on Internet and Information Systems, 6, 2, (2012), 580-592. DOI: 10.3837/tiis.2012.02.008.

[BibTeX Style]
@article{tiis:20081, title="A New Compressive Feedback Scheme Based on Distributed Compressed Sensing for Time-Correlated MIMO Channel", author="Yongjie Li and Rongfang Song and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2012.02.008}, volume={6}, number={2}, year="2012", month={February}, pages={580-592}}