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Towards win-win: weighted-Voronoi-diagram based channel quantization for security enhancement in downlink cloud-RAN with limited CSI feedback

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  • Special Focus on Mobile Network Virtualization
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Abstract

Physical layer (PHY) security is recently proved to enable improving the security of wireless communication networks. In downlink frequency division duplex (FDD) cloud radio access network (C-RAN), the performance of PHY security highly relies on the channel state information (CSI) which is usually acquired through the codebook-quantization-based technique at the transceiver. However, the conventional quantization method aggravates the leakage of privacy information in C-RAN under the eavesdropping environment. In this paper, a novel channel quantization method is investigated to improve the secrecy-rate performance of C-RAN by exploiting the high-dimension space geometry. Based on this method, it is proved that when the statistical distribution of the channel matrices of both the legitimate user and the eavesdropper is exploited, a win-win situation can be created where secrecy-rate gains are improved without sacrificing beamforming gains from the point of view of ergodic rate. Particularly, a secrecy-oriented criterion is devised to implement the proposed method for generating codebooks. Then a weighted Voronoi diagram (WVD) is formulated on the complex Grassmann manifold and finally, a vector quantization based algorithm is proposed to build up novel quantization codebooks iteratively. Simulation results further validate the superiority of our proposed codebooks over conventional codebooks in C-RAN systems.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 61431011), National High-Tech R&D Program of China (863) (Grant No. 2014AA01A707), National Science and Technology Major Project (Grant No. 2016ZX03001016-005), and Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

    Dongyang Xu, Pinyi Ren, Qinghe Du, Li Sun & Yichen Wang

  2. Shaanxi Smart Networks and Ubiquitous Access Research Center, Xi’an, 710049, China

    Dongyang Xu, Pinyi Ren, Qinghe Du, Li Sun & Yichen Wang

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  1. Dongyang Xu
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  2. Pinyi Ren
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  3. Qinghe Du
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Correspondence to Pinyi Ren.

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Xu, D., Ren, P., Du, Q. et al. Towards win-win: weighted-Voronoi-diagram based channel quantization for security enhancement in downlink cloud-RAN with limited CSI feedback. Sci. China Inf. Sci. 60, 040303 (2017). https://doi.org/10.1007/s11432-016-9013-0

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  • DOI: https://doi.org/10.1007/s11432-016-9013-0

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