In this paper, a joint control method for the user association and almost blank sub-frame (ABSF) based interference coordination (IC) technique in heterogeneous cellular networks is proposed. The optimization objective is simultaneously improving system throughput and guaranteeing proportionally fairness. Usually, user and base station (UE-BS) association is performed before ABSF rate determination, which is suboptimal with respect to UE- BS association. We formulate the joint optimization of UE-BS association and ABSF rate as a combinatorial optimization problem. To deal with it, we proposed an iterative method to discover the ABSF rate, the optimal association and the optimal resource blocks(RBs) allocation that can maximum long-term average throughput. Besides, as we cannot know the interference before user-association and resource allocation, we proposed a graph-based BS clustering method to estimate the interference before user-association and resource allocation. Simulation results show the efficiency of our proposed scheme.


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    Title :

    Cluster-Based Joint Cell Association and Interference Coordination Control in Heterogeneous Networks


    Contributors:
    Chen, Liang (author) / Ma, Lin (author) / Xu, Yubin (author) / Leung, Victor C. M. (author) / Wang, Xiaolu (author)


    Publication date :

    2016-09-01


    Size :

    358285 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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