In this paper, we present a secure transmission scheme to improve the secrecy capacity of wiretap systems by blending the benefits of polar code and artificial noise (AN). In the considered system, a transmitter tries to communicate with a receiver without leaking any confidential information to an eavesdropper. We propose a new system utility function, referred to as message secrecy capacity (MSC), which is obtained by integrating the code rate of polar code into the conventional secrecy capacity. Then, in order to maximize the secrecy capacity of the information bits in polar code, we formulate a max-min optimization problem to optimize the powers allocated among useful signals and the AN. To address the highly non-convexity of the considered problem, we propose a concave-convex procedure (CCCP)-based algorithm by introducing some carefully designed auxiliary variables, and convergence to the set of KarushKuhn-Tucker (KKT) solutions is guaranteed. Numerical results demonstrate the effectiveness of the proposed MSC objective function and power allocation scheme.


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    Titel :

    Optimized Power Allocation for Secure Transmission Using Polar Code and Artificial Noise


    Beteiligte:
    Bao, Xiaolan (Autor:in) / Zhao, Ming-Min (Autor:in) / Lei, Ming (Autor:in) / Zhao, Minjian (Autor:in) / Wang, Chan (Autor:in)


    Erscheinungsdatum :

    2019-09-01


    Format / Umfang :

    418584 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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