Home Network Usage Data Sharing for Roaming Resource Adaptation
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Solution Overview
Problem
When a home subscriber moves from their home network to a visited network, there is no guarantee that they will experience the same level and quality of services due to the lack of access to usage pattern data for resource allocation in the visited network.
Innovation Solution
Implementing an AI/ML platform in network nodes of both home and visited networks to collect, analyze, and share usage pattern data, allowing for efficient allocation of core and radio network resources to match the expected user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the home network operator collects and analyzes usage pattern data for dynamic resource optimization, then the user experience in the home network is improved, but the user experience in the visited network deteriorates due to lack of access to this data
Solution Approach 1:
The patent introduces an intermediary mechanism where the home network operator shares analyzed usage pattern data with the visited network operator through roaming agreements. This mediator approach allows the visited network to access critical user profile information without directly collecting raw data, resolving the information availability issue while maintaining data privacy and security boundaries between operators
Solution Approach 2:
The home network operator performs preliminary analysis of usage patterns before the user roams to the visited network. By pre-processing and storing key usage pattern data (such as service preferences, data consumption habits, and quality of service requirements) in advance, the system ensures that this information is readily available when the user connects to the visited network, eliminating the need for real-time data collection during roaming
2Device complexity
If the visited network operator allocates resources without usage pattern data, then the device complexity is reduced, but the service quality deteriorates
Solution Approach 1:
The visited network operator obtains a copy of the essential usage pattern data from the home network operator through standardized interfaces. This copying approach allows the visited network to replicate the home network's service quality decisions without implementing the entire data collection and analysis infrastructure, thereby maintaining service quality while reducing system complexity
3Reliability
If operators maintain agreements with multiple networks for roaming, then the reliability and robustness of connectivity is improved, but the difficulty of managing and sharing data information increases
Solution Approach 1:
The patent implements a universal data sharing framework based on standardized interfaces and protocols that can be applied across multiple roaming agreements. This universal approach allows operators to manage relationships with multiple networks using a consistent methodology, reducing the complexity increment that would otherwise result from each individual agreement requiring unique data sharing arrangements
Data Source
AI summary
The embodiments herein relate to a method performed by a network node of a HPLMN, the method including collecting, from at least one radio network node of a RAN, and from a CN, data regarding usage patterns of a subscriber of said HPLMN; analyzing the collected data and filtering the collected data; receiving, via the CN, a request from a network node of a VPLMN; requesting data regarding usage patterns of the subscriber that has moved from the HPLMN to the VPLMN; and providing the network node of the VPLMN, the analyzed and filtered collected data regarding requested usage patterns of the subscriber, for enabling the network node of the VPLMN to adapt core network resources and radio network resources for providing services to the subscriber in the VPLMN.