Paging Failure Prediction in Wireless Networks
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Solution Overview
Problem
Paging failures in wireless communications networks adversely impact services, and existing methods do not effectively predict or mitigate these failures.
Innovation Solution
A system and method for predicting paging failures by network units, which transmit alert messages to determine inactive assistance information and transition remote units to an inactive state, using network data analytics to analyze paging failure possibilities and send timely notifications to reduce network resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If remote units remain in active state to ensure reliable service, then service reliability is improved, but network resource consumption increases
Solution Approach 1:
The system performs preliminary actions by predicting paging failures before they occur and proactively transitioning remote units to inactive state in advance, preventing service disruptions while optimizing resource usage
Solution Approach 2:
The system dynamically transitions remote units between active and inactive states based on real-time predictions of paging failure risk, allowing the network to adapt resource allocation to actual service needs
2Use of energy by moving object
If remote units are transitioned to inactive state to conserve network resources, then network resource usage is reduced, but service reliability deteriorates
Solution Approach 1:
The system uses feedback from paging failure predictions to dynamically adjust the state of remote units, transitioning them to inactive state only when prediction indicates low failure risk, thus maintaining service reliability while optimizing resource usage
Solution Approach 2:
The system changes the operational state parameter of remote units (active/inactive) based on predicted paging failure probabilities, optimizing the balance between resource consumption and service reliability
3Device complexity
If traditional paging methods are used without prediction, then system complexity is low, but paging failure rate increases
Solution Approach 1:
The system performs preliminary prediction of paging failures using analytics functions before attempting paging operations, enabling proactive prevention of failures without significantly increasing operational complexity
Solution Approach 2:
The system introduces an intermediary prediction function that analyzes paging failure risks and provides recommendations, acting as a mediator between the network and remote units to improve paging success rates
Data Source
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AI summary
Apparatuses, methods, and systems are disclosed for predicting paging failure information. One method (700) includes predicting (702) paging failure information. The method (700) includes, in response to predicting the paging failure information, transmitting (704) a paging failure alert message to a first network unit (104). The paging failure alert message is used to determine inactive assistance information that is transmitted to a second network unit (104).