BEAM ALIGNMENT FOR WIRELESS NETWORKS BASED ON PRE-TRAINED MACHINE LEARNING MODEL AND ANGLE OF ARRIVAL

Abstract

A method includes determining signal measurements for signals received for a plurality of first beams; determining a beam index and estimated angle of arrival for one or more network node transmit second beams based on the signal measurements for a set of one or more first beams and position information for the user device; determining for one or more of the network node transmit second beams, an associated user device receive second beam, wherein the associated user device receive second beam is at least one of a beam from a codebook that has an angle of arrival that most closely matches the estimated angle of arrival of the network node transmit second beam, or a beam having beam weights calculated based on the estimated angle of arrival for the network node transmit second beam; and controlling transmitting the beam index for the one or more network node transmit second beams.

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