In this paper, a dynamic codebook selection scheme is proposed for beam sweeping at millimeter wave receiver. The codebook selection problem is formulated as a Partially Observed Markov Decision Process (POMDP) and Q-learning method is used to learn a policy to dynamically select an appropriate codebook from a pre-defined codebook set in each beam sweeping period. A hierarchical structure codebook set design method based on Lloyd’s method is proposed to generate a proper codebook set with good coverage and high average beamforming gain. The proposed scheme offers more than 1 dB gain in terms of block error rate (BLER) performance compared with the existing methods which use a fixed codebook in all beam sweeping periods.


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    Title :

    Learning based Dynamic Codebook Selection for Analog Beamforming


    Contributors:
    Zhan, Qi (author) / Cheng, Hongbing (author) / Song, Kee-Bong (author)


    Publication date :

    2020-11-01


    Size :

    981475 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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