For the design and performance evaluation of potential massive multiple input and multiple output (MIMO) related algorithms, accurate channel models are indispensable. Spherical wavefront and array non-stationarity due to physically large antenna array are two new characteristics specific to massive MIMO propagation. In this paper, spherical wavefront effects can be well characterized by a predefined two-dimensional multi-confocal ellipse scattering geometry as in reference [1] and a 9- state Markov process is developed to capture the channel behaviors by array non-stationarity. Meanwhile, the associated approach to derive the state transition probabilities of the Markov process based on the outfield measurements is detailed. Finally, simulation results verify the validity of our proposal.


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    Title :

    Markov Process Based Array Non-Stationarity Modeling for Massive MIMO Channels


    Contributors:
    Pang, Lihua (author) / Zhang, Yang (author) / Ren, Guangliang (author) / Gong, Fengkui (author) / Wang, Anyi (author) / Li, Jiandong (author)


    Publication date :

    2017-09-01


    Size :

    13146794 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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