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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    Title :

    A Novel Network Optimization Method for Cooperative Massive MIMO Systems


    Contributors:
    Li, Kai (author) / Yang, Yang (author) / Chen, Yu (author) / Yang, Xiumei (author) / Yi, Huiyue (author)


    Publication date :

    2017-06-01


    Size :

    395166 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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