| CPC H04B 17/3913 (2015.01) | 20 Claims |

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1. A method, comprising:
extracting, by a processor of a user equipment (UE) that is in wireless communication with a base station node, eigenvectors (EVs) from raw channel state information (CSI) acquired by the UE; and
generating, by the processor, pre-processed CSI for compression by a machine-learning (ML)-based encoder of the UE into CSI feedback for the base station node by at least performing one or more of a phase discontinuity compensation (PDC), a one-step polarization separation with re-ordering, or a two-step polarization separation that includes separation based on polarization type and separation by position on the EVs.
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