Massive MIMO Beam Management in Sub-6 GHz 5G NR. (arXiv:2204.06064v1 [eess.SP])

Beam codebooks are a new feature of massive multiple-input multiple-output
(M-MIMO) in 5G new radio (NR). Codebooks comprised of beamforming vectors are
used to transmit reference signals and obtain limited channel state information
(CSI) from receivers via the codeword index. This enables large arrays that
cannot otherwise obtain sufficient CSI. The performance, however, is limited by
the codebook design. In this paper, we show that machine learning can be used
to train site-specific codebooks for initial access. We design a …

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