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.
Learning based Dynamic Codebook Selection for Analog Beamforming
01.11.2020
981475 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch