Method and system for predicting an anomaly associated with a user equipment (UE)
EP4748042A1Pending Publication Date: 2026-05-27JIO PLATFORMS LTD
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Patent Information
- Authority / Receiving Office
- EP · EP
- Patent Type
- Applications
- Current Assignee / Owner
- JIO PLATFORMS LTD
- Filing Date
- 2024-07-17
- Publication Date
- 2026-05-27
AI Technical Summary
Technical Problem
Existing systems lack the capability to predict and proactively address abnormal behavior of user equipment (UE) in wireless networks, relying solely on statistical data without predictive analytics.
Method used
A method and system that utilize a transceiver unit, control unit, and prediction unit to receive device attributes from UE, analyze them using a sub-system trained on operational performance and anomaly data, and predict anomalies associated with the UE.
Benefits of technology
Enables proactive mitigation of abnormal UE behavior by predicting anomalies based on historical data and real-time attributes, improving network performance and user experience.
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Smart Images
Figure IN2024051290_23012025_PF_FP_ABST
Abstract
The present disclosure relates to a method and a system for predicting an anomaly associated with a User Equipment (UE). The present disclosure encompasses: obtaining one or more device attributes comprising at least one of a location attribute of the UE [102], a network traffic detail, and a number of connected UEs in a network; providing the one or more device attributes as an input to a sub-system [112], wherein the sub-system [112] is trained based on a first set of training attributes of a plurality of UEs [102] within the network, the first set of training attributes being indicative of operational performance and a set of previously occurred anomalies of the plurality of UEs [102]; receiving an analysis of the one or more device attributes from the sub-system [112]; and predicting an anomaly associated with said UE [102] based on the received analysis.
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