With the development of the fifth generation mobile communication, long-term evolution in unlicensed spectrum (LTE-U) has been proposed as a promising means to solve the spectrum scarcity problem. In this paper, we investigate the mobile data offloading in a LTE-U system where one LTE small cell base station (SBS) coexists with several WiFi APs. Different from the traditional unidirectional mobile offloading, the proposed bidirectional mobile offloading can improve the system throughput and achieve the load balance among different WiFi APs as well. We first formulate a multi-objective optimization problem (MOOP) to analyze the bidirectional mobile offloading. Then, we propose two different algorithms to achieve the effective solutions to the MOOP. The first one utilizes the Nash bargaining solution (NBS) to obtain the closed-form solution to the optimal unlicensed resource allocation. The second one leverages the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to develop a low-complexity heuristic algorithm. Our proposals are finally validated by numerical simulations.


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    Titel :

    Bidirectional Mobile Offloading in LTE-U and WiFi Coexistence Systems


    Beteiligte:
    Liu, Shengli (Autor:in) / Zhang, Jiaqi (Autor:in) / Chen, Qimei (Autor:in) / Yu, Guanding (Autor:in)


    Erscheinungsdatum :

    2018-08-01


    Format / Umfang :

    343297 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch