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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    Titel :

    Learning based Dynamic Codebook Selection for Analog Beamforming


    Beteiligte:
    Zhan, Qi (Autor:in) / Cheng, Hongbing (Autor:in) / Song, Kee-Bong (Autor:in)


    Erscheinungsdatum :

    01.11.2020


    Format / Umfang :

    981475 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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