EP EP4797632A1

ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (ML)-BASED MODEL SWITCHING TECHNIQUES FOR NEURAL NETWORK (NN)-BASED RECEIVERS

Abstract

Systems, methods, and devices are provided for implementing artificial intelligence (AI) and machine learning (ML)-based model switching techniques for neural network (NN)-based receivers. In one aspect, a system may deploy a plurality of neural network receivers associated with a receiver and trained to operate in different environments, receive sensing data associated with the receiver, and predict, based on the received sensing data, an environment for the receiver from a predetermined set of different environment types. The system may also select a neural network receiver of the plurality of neural network receivers based on a probability of a successful decoding and switch to the selected neural network receiver.

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