In this paper, we propose an efficient signal extraction algorithm in the uplink massive MIMO systems where multiple users simultaneously transmit symbols to the receiver (base station). Based on the received signals during the channel coherent time, a statistical decision matrix is firstly built, which can effectively reduce the influence of channel state information (CSI) according to the Central Limit Theorem (CLT). From the analyses in the assumptions of noise-free and the infinite number of antennas, this decision matrix does not contain any CSI. It greatly inspires us to study how to extract the transmitted symbols from this decision matrix. An optimization problem is formulated based on the symbol mean modulus constellation. By converting the original non-convex objective function to a convex optimization problem and estimating the optimal weighting vector, the every user’s transmitted symbols are finally extracted. The effectiveness and performance of our proposed scheme are validated with numerical simulations. Comparisons are also performed with the noncoherent transmission schemes and the detection based on channel estimation algorithms.


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    Title :

    An Efficient Signal Extraction Scheme in Uplink Massive MIMO Systems


    Contributors:
    Li, Guo (author) / Zhang, Xiao (author)


    Publication date :

    2020-05-01


    Size :

    144946 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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