US Patent Application 18188638. MACHINE LEARNING MODEL POSITIONING PERFORMANCE MONITORING AND REPORTING simplified abstract
Contents
MACHINE LEARNING MODEL POSITIONING PERFORMANCE MONITORING AND REPORTING
Organization Name
Inventor(s)
Mohammed Ali Mohammed Hirzallah of San Diego CA (US)
Taesang Yoo of San Diego CA (US)
Srinivas Yerramalli of San Diego CA (US)
Mohammad Tarek Fahim of San Diego CA (US)
MACHINE LEARNING MODEL POSITIONING PERFORMANCE MONITORING AND REPORTING - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 18188638 Titled 'MACHINE LEARNING MODEL POSITIONING PERFORMANCE MONITORING AND REPORTING'
Simplified Explanation
The abstract describes techniques for wireless communication. It explains that a network entity receives a message from a user equipment (UE) containing positioning estimates derived by the UE using a machine learning model. The machine learning model is applied to measurements of a wireless channel between the UE and a network node. The network entity then transmits a performance report indicating how well the machine learning model performed in deriving the positioning estimates.
Original Abstract Submitted
Disclosed are techniques for wireless communication. In an aspect, a network entity receives a provide location information message from a user equipment (UE), the provide location information message including one or more positioning estimates derived by the UE during one or more positioning inference occasions of a machine learning model, wherein the machine learning model is applied to one or more measurements of a wireless channel between the UE and a network node during each of the one or more positioning inference occasions, and transmits a performance report indicating a performance of the machine learning model at least in deriving the one or more positioning estimates during the one or more positioning inference occasions.
