With the application of large-scale antenna systems in upcoming 5G networks, the overhead of channel measurement and feedback explodes exponentially. This paper aims to investigate an effective conversion method to converse the channel covariance from uplink to downlink for uniform planar array (UPA) and avoid the unnecessary overhead in FDD systems. First, a multiuser channel model is established according to the geometric structure of UPA. Then, by analyzing the relationship between the downlink channel covariance matrix (DCCM) from the uplink channel covariance matrix (UCCM), a general estimation algorithm is proposed for UPA. To reduce the computation complexity, a simple Kronecker algorithm is derived, which decomposes the DCCM of UPA to the DCCMs of the horizontal and vertical channel responses. Finally, both two algorithms are applied to the statistical beamforming algorithm in a multiuser FDD system with UPA. The Monte Carlo simulation verifies their validity.


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    Title :

    Conversion of the Channel Covariance in FDD Systems with 3D Antenna Array


    Contributors:
    Qin, Min (author) / Zhang, Yi (author) / Wei, Haichao (author) / Chen, Li (author) / Chen, Xiaohui (author) / Wei, Guo (author)


    Publication date :

    2018-08-01


    Size :

    483730 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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