This paper investigates the secure communication problem in the downlink of mobile edge computing (MEC) systems. A sum secrecy rate (SSR) maximization problem is formulated under transmission power and time constraints. To enhance the secrecy of the downlink transmission, we design the Geometric Water-Filling for SSR (GWF-SSR) algorithm for power allocation. Initially, we determine the minimum power allocation for each node to satisfy the transmission time constraint. Subsequently, the GWF-SSR algorithm is employed to allocate the remaining power. Numerical results demonstrate that the proposed algorithm outperforms existing benchmark algorithms. Besides, the GWF-SSR algorithm is superior to the Geometric Water-Filling (GWF) algorithm in terms of the SSR.


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    Titel :

    A Power Allocation Strategy in Mobile Edge Computing for Maximizing Sum Secrecy Rate


    Beteiligte:
    Mao, Jiahui (Autor:in) / Liao, Wensong (Autor:in) / Tan, Chong (Autor:in) / Liu, Hong (Autor:in) / Zheng, Min (Autor:in)


    Erscheinungsdatum :

    07.10.2024


    Format / Umfang :

    723377 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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