USPTO Patent Application: Machine Learning Measurement Reporting in Wireless Communication

ChangeBridge: Patent Apps - AI & Computing (G06N)

Published September 26th, 2023

Detected March 23rd, 2026

Summary

The USPTO has published a patent application from LG Electronics Inc. detailing a method for machine learning-based measurement reporting in wireless communication systems. The application describes a user equipment's process for configuring, obtaining, and transmitting measurement results based on machine learning models.

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What changed

This document is a USPTO patent application (US20260082257A1) filed by LG Electronics Inc. on September 26, 2023. It describes a method for measurement reporting in wireless communication systems that utilizes machine learning (ML) models. The user equipment (UE) receives configurations for ML models, determines which models to use for reporting, obtains measurement results by inputting data into these models, and transmits these results to the network.

As this is a patent application, it does not impose direct regulatory obligations or compliance deadlines on entities. However, it signifies potential future technological developments in wireless communications and AI integration. Companies operating in the wireless communication and technology sectors, particularly those involved in network infrastructure and device manufacturing, may wish to monitor patent filings in this area for competitive intelligence and potential licensing opportunities.

Source document (simplified)

← USPTO Patent Applications

MEASUREMENT REPORTING BASED ON MACHINE LEARNING IN WIRELESS COMMUNICATION SYSTEM

Application US20260082257A1 Kind: A1 Mar 19, 2026

Assignee

LG ELECTRONICS INC.

Inventors

Sunghoon JUNG, Myoungsoo KIM, Han CHA

Abstract

The present disclosure relates to measurement reporting based on machine learning in wireless communications. According to an embodiment of the present disclosure, a method performed by a user equipment (UE) configured to operate in a wireless communication system comprises: receiving, from a network, a configuration for measurement reporting related to a plurality of machine learning (ML) models; determining a set of ML models for measurement reporting among the plurality of ML models configured for the UE, based on the configuration; obtaining measurement results by taking inputs to the set of ML models; and transmitting, to the network, at least one of the measurement results.