TRANSFER LEARNING FOR ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML)-BASED BEAM MANAGEMENT

Abstract

Transfer learning (TL)-based systems, methods, and devices are provided for beam management in communication networks. In one aspect, a system may implement a transfer learning (TL)-based method comprising generating a neural network model for beam management in a telecommunications system, designating a plurality of labels, wherein one of the plurality of labels is associated with measurements from beams associated with a first set of measurements for a first frequency (f1). The system may also train the neural network model for the first frequency to produce a trained neural network model, including inputting measurements from beams associated with a second set of measurements for the first frequency (f1) and implement the trained neural network model to output a probability of each beam in the first set of measurements for the second frequency (f2) is a Top-1 beam, and determine beam identifiers (IDs) for the Top-K beams.

CPC Classifications