Capacity-coverage tradeoff balancing is a classical but critical problem for practical wireless multi- cell network optimization. Increasing the average capacity is often at the expense of decreasing the cell coverage and vice versa. It becomes more complex in massive multiple-input/multiple-output (MIMO) networks to balance the above two performance indicators since capacity is much highly improved while the inter-cell interference is also increased greatly under massive antenna scenarios. In this work, a novel system-level optimization parameter is proposed, namely minimum user signal to interference plus noise ratio (user-SINR) threshold, to solve the above balancing problem. By utilizing this new parameter, the corresponding user scheduling and inter-cell interference coordination scheme are further provided for cooperative massive MIMO networks. Performance analysis and numerical results show that the proposed minimum user-SINR threshold is a very effective optimization parameter to achieve the capacity-coverage tradeoff performance with lower optimization complexity, combined with the proposed scheduling and interference coordination schemes.


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    Titel :

    A Novel Network Optimization Method for Cooperative Massive MIMO Systems


    Beteiligte:
    Li, Kai (Autor:in) / Yang, Yang (Autor:in) / Chen, Yu (Autor:in) / Yang, Xiumei (Autor:in) / Yi, Huiyue (Autor:in)


    Erscheinungsdatum :

    01.06.2017


    Format / Umfang :

    395166 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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