Neural network functions for positioning measurement data processing at a user equipment

In an aspect, a network component transmits, to a UE, at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, the at least one neural network function being generated dynamically based on ma...

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Bibliographic Details
Main Authors Bhushan, Naga, Sundararajan, Jay Kumar, Yoo, Taesang, Mukkavilli, Krishna Kiran, Namgoong, June, Ji, Tingfang, Vitthaladevuni, Pavan Kumar
Format Patent
LanguageEnglish
Published 30.01.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
WIRELESS COMMUNICATIONS NETWORKS
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Summary:In an aspect, a network component transmits, to a UE, at least one neural network function configured to facilitate processing of positioning measurement data into one or more positioning measurement features at the UE, the at least one neural network function being generated dynamically based on machine-learning associated with one or more historical measurement procedures. The UE may obtain positioning measurement data associated with the UE, and may process the positioning measurement data into a respective set of positioning measurement features based on the at least one neural network function. The UE may report the processed set of positioning measurement features to a network component, such as the BS or LMF.
Bibliography:Application Number: US202117391373