SERVER-TO-BASE STATION CONFIGURATION OF FEATURE PROCESSING NEURAL NETWORK FOR POSITIONING

Disclosed are techniques for positioning. In an aspect, a network node receives, from a network entity, one or more parameters for a neural network, performs one or more measurements of at least one reference signal from a target user equipment (UE) based on a measurement configuration for the at le...

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Bibliographic Details
Main Authors SUNDARARAJAN, Jay Kumar, MANOLAKOS, Alexandros, BHUSHAN, Naga, DUAN, Weimin, JI, Tingfang, GOPALAKRISHNAN, Sooryanarayanan, YOO, Taesang, MUKKAVILLI, Krishna Kiran
Format Patent
LanguageEnglish
French
German
Published 20.03.2024
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION
WIRELESS COMMUNICATIONS NETWORKS
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Summary:Disclosed are techniques for positioning. In an aspect, a network node receives, from a network entity, one or more parameters for a neural network, performs one or more measurements of at least one reference signal from a target user equipment (UE) based on a measurement configuration for the at least one reference signal, generates one or more statistics of one or more features of the at least one reference signal based on the neural network and the one or more measurements, and reports the one or more statistics to the network entity to enable the network entity to estimate a location of the target UE based on the one or more statistics and a location of the network node.
Bibliography:Application Number: EP20220721242