A Pseudo-Random Beamforming Technique with Heterogeneous Rank Beamforming Matrices for Cloud Radio Access Networks 


Vol. 44,  No. 3, pp. 509-512, Mar.  2019
10.7840/kics.2019.44.3.509


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  Abstract

In this letter, we propose a pseudo-random beamforming (PRBF) technique with multiple beam matrices of heterogeneous rank for cloud radio access networks. Before data transmission, each base station (BS) generates pseudo-random beam matrix candidates and each mobile stations (MSs) in the cell is assumed to know the beam matrix candidates. After receiving the reference signal from BSs, MSs calculate effective signal to interference plus noise ratio (SINR) values for each beam, and feedback them and their corresponding beam indices to the BS. Then, each BS hands over the information to the BS coordinator, and the BS coordinator selects the optimal beam matrix which maximizing the achievable sum-rate among beam matrix candidates. Through computer simulations, the proposed technique outperforms the conventional technique in terms of the sum-rate especially for high SNR region.

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  Cite this article

[IEEE Style]

W. Son, B. C. Jung, C. Kim, "A Pseudo-Random Beamforming Technique with Heterogeneous Rank Beamforming Matrices for Cloud Radio Access Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 3, pp. 509-512, 2019. DOI: 10.7840/kics.2019.44.3.509.

[ACM Style]

Woong Son, Bang Chul Jung, and Chul-Young Kim. 2019. A Pseudo-Random Beamforming Technique with Heterogeneous Rank Beamforming Matrices for Cloud Radio Access Networks. The Journal of Korean Institute of Communications and Information Sciences, 44, 3, (2019), 509-512. DOI: 10.7840/kics.2019.44.3.509.

[KICS Style]

Woong Son, Bang Chul Jung, Chul-Young Kim, "A Pseudo-Random Beamforming Technique with Heterogeneous Rank Beamforming Matrices for Cloud Radio Access Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 3, pp. 509-512, 3. 2019. (https://doi.org/10.7840/kics.2019.44.3.509)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880