Channel State Information Feedback Scheme Based on Non-Convex Compressed Sensing for Massive MIMO Systems 


Vol. 40,  No. 4, pp. 628-636, Apr.  2015


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  Abstract

In this paper, we propose a non-convex compressed sensing(NCCS)-based channel state information(CSI) feedback scheme for massive multiple-input multiple-output(MIMO) systems. Combining the random vector quantization(RVQ), the proposed scheme permits a transmitter to obtain CSI with acceptable accuracy under substantially reduced feedback load. Furthermore, it recovers CSI from fewer measurements than that of existing convex compressed sensing(CCS)-based schemes even if the measurements are inaccurate and incomplete. Simulation results show that the proposed scheme achieves higher throughput than both existing CCS-based feedback scheme and random vector quantization(RVQ) feedback scheme with the same feedback load.

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  Cite this article

[IEEE Style]

J. Kim, I. Kim, J. S. Park, H. Song, S. W. Han, "Channel State Information Feedback Scheme Based on Non-Convex Compressed Sensing for Massive MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 628-636, 2015. DOI: .

[ACM Style]

Jung-Hyun Kim, Inseon Kim, Jin Soo Park, Hong-Yeop Song, and Sung Woo Han. 2015. Channel State Information Feedback Scheme Based on Non-Convex Compressed Sensing for Massive MIMO Systems. The Journal of Korean Institute of Communications and Information Sciences, 40, 4, (2015), 628-636. DOI: .

[KICS Style]

Jung-Hyun Kim, Inseon Kim, Jin Soo Park, Hong-Yeop Song, Sung Woo Han, "Channel State Information Feedback Scheme Based on Non-Convex Compressed Sensing for Massive MIMO Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 4, pp. 628-636, 4. 2015.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880