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Beamforming structures with fixed beam codebooks provide economical solutionsfor millimeter wave (mmWave) communications due to the low hardware cost.However, the training overhead to search for the optimal beamformingconfiguration is proportional to the codebook size. To improve the efficiencyof beam tracking, we propose a beam tracking scheme based on the channelfingerprint database, which comprises mappings between statistical beamforminggains and user locations. The scheme tracks user movement by utilizing thetrained beam configurations and estimating the gains of beam configurationsthat are not trained. Simulations show that the proposed scheme achievessignificant beamforming performance gains over existing beam tracking schemes.

Channel Fingerprint Based Beam Tracking for Millimeter Wave Communications