Energy harvesting (EH) becomes more desirable to save the world's energy consumption. This paper investigates energy resource allocation problem for EH networks. We propose a resource allocation framework based on a Semi-Markov Decision Process (SMDP). The objective of the framework is to provide a solution for a throughput maximization problem in EH networks by maximizing the total long-term expected reward of the EH system. The system reward is derived by considering both the income and the cost of the EH wireless communications. The numerical results illustrate a significant expected reward performance gain over a Greedy scheme. Moreover, simulations illustrate that the proposed approach is efficient and provides important guidelines for network deployment and resource management in a green radio network with EH technology.


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    Titel :

    SMDP-Based Resource Allocation for Wireless Networks with Energy Harvesting Constraints


    Beteiligte:
    Baljon, Mohammed (Autor:in) / Li, Mushu (Autor:in) / Liang, Hongbin (Autor:in) / Zhao, Lian (Autor:in)


    Erscheinungsdatum :

    01.09.2017


    Format / Umfang :

    202053 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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