Multiple Input Multiple Output (MIMO) radar is enormously used in communication systems due to its target detection capacity, high resolution, and better target detection estimation. However, the restricted power of radar affects the throughput of the MIMO radar. Therefore, an optimal power allocation is required to obtain reliable data communication between the MIMO radars. In this article, the backhaul and access game based power allocation is proposed to assign the appropriate power between the clusters of MIMO radar. Here, the MIMO radar is classified into primary and secondary clusters by using the Naive Bayes classifier. The angle of arrival is considered to enable the respective radar of the cluster instead of enabling all radars in the cluster. The performances of the backhaul and access game based power allocation are analyzed in terms of power density factor and throughput (i.e., capacity) and it is evaluated by using the existing method called generalized Nash game theory. The power consumption of the proposed method for cluster 1 is 0.0456, it is less when compared to the generalized nash game theory.


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    Titel :

    A Backhaul and Access Game based Adaptive Power Allocation for MIMO-Radar


    Beteiligte:


    Erscheinungsdatum :

    05.11.2020


    Format / Umfang :

    208581 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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