Computing resource allocation in Baseband Unit (BBU) Pool is a challenging research topic for a Centralized Radio Access Network (C-RAN) when the resource allocation algorithm has to heed thermal characteristics of the computing resources (Processors) of BBU along with the optimization of power consumption and computing resource usage. Since the network load acts as a heat source for the processor this thermal phenomenon of a processor has to be addressed properly to optimize its power consumption and total computing resource usage efficiency (CRUE). This paper presents an optimal solution for dynamic computing resource allocation considering two models (Thermal and Computing Resource Usage) of a computing unit in the BBU. We use Lagrange multiplier with Kuhn-Tucker condition to get an optimal solution. The proposed algorithm is assessed in terms of CRUE and power consumption. The simulation results show that the TADCRA remarkably outperforms the conventional method and Load Diversity based Allocation (LDA) method respectively by 66% and 45% in CRUE and 50% and 95% in power consumption difference. Moreover, the CRUE is consistent over varying network load.


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    Titel :

    Thermal-Aware Dynamic Computing Resource Allocation for BBU Pool in Centralized Radio Access Networks


    Beteiligte:
    Sah Tyagi, Sumarga Kumar (Autor:in) / Lin, Tian (Autor:in) / Zhou, Yiqing (Autor:in)


    Erscheinungsdatum :

    01.06.2017


    Format / Umfang :

    212744 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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