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Resource allocation on secrecy energy efficiency for C-RAN with artificial noise

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Abstract

In this paper, we devote to maximize the secrecy energy efficiency (SEE) for a cloud radio access network where exists an eavesdropper wiretapping information from remote radio head. We first establish the system model and then formulate the power optimization problem to maximize the SEE of the system subject to the fronthaul capacity and transmit power constraints. To address this nonconvex problem, we first convert the fractional objective function into a subtractive form and two algorithms are then proposed to solve it. Simulation results indicate that the proposed the iterative optimization algorithms can obtain higher SEE and present the merit of AN in enhancing the system performance when compared with conventional methods.

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Acknowledgements

This work was supported by National Natural Science Foundation of China under Grants 61901241, 61671144, 61801170, 61801257, Shandong Provincial Natural Science Foundation, China under Grant ZR2017BF028, Henan Province Science and Technology Research Project under Grant 182102110401, Open Fund of Acoustic Science and Technology Laboratory under Grant SSKF2018003, Platform for Innovation and Entrepreneurship Training Program of Qingdao University.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Qingdao University, Qingdao, 266071, China

    Lingquan Meng, Qingran Wang, Zhengxia Ji, Mengyun Nie & Kang Song

  2. Electronic and Information Engineering College, Henan University of Science and Technology, Luoyang, 471003, China

    Baofeng Ji

  3. School of Information Science and Engineering, Southeast University, Nanjing, 210096, China

    Chunguo Li & Kang Song

  4. Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin, 150001, China

    Chunguo Li

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  1. Lingquan Meng
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  2. Qingran Wang
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  3. Zhengxia Ji
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  4. Mengyun Nie
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  5. Baofeng Ji
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  7. Kang Song
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Correspondence to Kang Song.

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Meng, L., Wang, Q., Ji, Z. et al. Resource allocation on secrecy energy efficiency for C-RAN with artificial noise. Wireless Netw 26, 639–650 (2020). https://doi.org/10.1007/s11276-019-02160-x

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