Design and Performance Gain Evaluation of a Multi-Rank Codebook Utilizing Statistical Properties of the Spatial Channel Model 


Vol. 41,  No. 7, pp. 723-731, Jul.  2016


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  Abstract

A core technological base to provide enhanced data rates required by 5G mobile wireless communications is the improved bandwidth efficiency using massive multiple-input multiple-output (MIMO) transmission. MIMO transmission requires the channel estimation using the channel state information reference signaling (CSI-RS) and appropriate beamforming, thus the design of the codebook defining proper beamforming vectors is an important issue. In this paper, we propose a multi-rank codebook based on the discrete Fourier transform (DFT) matrix, by utilizing statistical properties of the channel generated by the spatial channel model (SCM). The proposed method includes a structural change of the precoding matrix indicator (PMI) by considering the phase difference distributions between adjacent antenna elements, as well as the selected codevector characteristics of each transmission layer. Performance gain of the proposed method is evaluated and verified by making the performance comparison to the 3GPP standard codebooks adopted by Long-Term Evolution (LTE) systems.

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  Cite this article

[IEEE Style]

C. Kim and W. Sung, "Design and Performance Gain Evaluation of a Multi-Rank Codebook Utilizing Statistical Properties of the Spatial Channel Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 7, pp. 723-731, 2016. DOI: .

[ACM Style]

Changhyeon Kim and Wonjin Sung. 2016. Design and Performance Gain Evaluation of a Multi-Rank Codebook Utilizing Statistical Properties of the Spatial Channel Model. The Journal of Korean Institute of Communications and Information Sciences, 41, 7, (2016), 723-731. DOI: .

[KICS Style]

Changhyeon Kim and Wonjin Sung, "Design and Performance Gain Evaluation of a Multi-Rank Codebook Utilizing Statistical Properties of the Spatial Channel Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 7, pp. 723-731, 7. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880