Behavior-Based Mobile Network Handover Across Operator Borders
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Solution Overview
Problem
Existing handover management in mobile communication networks is challenging, particularly when a mobile terminal moves between different operator networks, requiring manual effort for IMSI whitelist management and radio network planning, which does not scale well and fails to address overlapping network challenges.
Innovation Solution
A method and system that uses data analysis and machine-learning models to predict the need for handovers by evaluating the behavior of mobile terminals, generating control signals to trigger seamless handovers between networks, and optimizing service management during the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual IMSI whitelist management is used to control handovers between networks, then service quality and authorization control are improved, but operational complexity and time consumption increase significantly
Solution Approach 1:
The system enables automatic handover decision-making by analyzing mobile terminal behavior patterns and network conditions. The computing system autonomously determines when handovers should occur without requiring manual whitelist management, allowing the network to self-optimize handover decisions based on real-time data while maintaining service quality
Solution Approach 2:
The patent replaces manual mechanical processes (whitelist configuration, radio network planning) with automated computational analysis. Machine learning models and behavior analysis algorithms substitute human operators in making handover decisions, dramatically reducing operational time while maintaining or improving service quality
2Reliability
If manual radio network planning is implemented to ensure handover success, then service quality is improved, but scalability and efficiency deteriorate
Solution Approach 1:
The system continuously monitors mobile terminal behavior and automatically adjusts handover parameters based on detected patterns. This self-optimizing capability ensures high handover success rates without requiring manual radio network planning for each scenario, enabling the system to scale efficiently as network conditions and user behaviors evolve
Solution Approach 2:
The patent implements dynamic handover decision-making that adapts to changing network conditions and user behavior patterns in real-time. Rather than static manual planning, the system continuously learns from new data and adjusts handover strategies, maintaining high success rates while improving scalability through automated adaptation
3Productivity
If automated behavior analysis is used to predict handover needs, then productivity and scalability are improved, but system complexity increases
Solution Approach 1:
The patent introduces a computing system as an intermediary layer between mobile terminals and network infrastructure. This intermediary performs behavior analysis and handover prediction, consolidating complexity in a dedicated system rather than distributing it across multiple network elements, thereby improving overall productivity while managing system complexity through centralized intelligence
4Reliability
If IMSI whitelist checking is performed for every handover request, then security and authorization control are improved, but processing time and operational overhead increase
Solution Approach 1:
The system performs preliminary behavior analysis to pre-determine likely handover scenarios before they occur. By predicting handover needs based on mobile terminal behavior patterns, the system prepares authorization decisions in advance, reducing the need for time-consuming whitelist checks during actual handover execution while maintaining security
Data Source
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AI summary
A method for triggering a handover of a mobile terminal (150, 150A, 150B) from a first network (MNO A) to a second network (MNO B) is provided, the method comprises: accessing (210) data descriptive of a behavior of mobile terminals (150, 150A, 150B) served by the first mobile communication network (MNO A); detecting (220) a mobile terminal (150, 150A, 150B) whose behavior is indicative of an expected need of a handover; generating (230) a control signal to a control entity (126) of the first mobile communication network (MNO A) to request triggering of a handover of the mobile terminal (150, 150A, 150B) to the second mobile communication network (MNO B). A computing system (122), a computer program and a communication system are also provided to.