UNSUPERVISED LEARNING FOR SIMULTANEOUS LOCALIZATION AND MAPPING IN DEEP NEURAL NETWORKS USING CHANNEL STATE INFORMATION

摘要

A method of training an artificial neural network (ANN), receives, from a base station, signal information for a radio frequency signal between the base station and a user equipment (UE). The artificial neural network is trained to determine a location of the UE and to map the environment based on the received signal information and in the absence of labeled data.