In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficiency. The presented method accounts for channel estimation errors during the optimization process and is, hence, robust in the case of imperfect channel state information (CSI). Additionally, the design method is adapted such that the need for a line search to satisfy the power constraint is eliminated, that significantly accelerates the precoder computation. Simulation results demonstrate that the proposed robust precoding method is competitive with weighted minimum mean square error (WMMSE) precoding, in particular, under imperfect CSI scenarios.


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    Title :

    Robust Precoding for FDD MISO Systems via Minorization Maximization


    Contributors:


    Publication date :

    2024-10-07


    Size :

    403660 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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