UE Analytics Profile Sharing for Secure Roaming Accuracy
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Solution Overview
Problem
In 5G mobile communication systems, there is a lack of mechanism for sharing user equipment (UE) related data and analytics between home public land mobile networks (HPLMN) and visited public land mobile networks (VPLMN) for accurate analytics generation in VPLMN, leading to low accuracy and security concerns.
Innovation Solution
A mechanism is introduced to generate and share a UE analytics profile between HPLMN and VPLMN, considering security policies and privacy policies, allowing VPLMN to retrieve and utilize UE analytics profiles from HPLMN for improved analytics accuracy, with consent-based data sharing and filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If UE analytics profile is shared between HPLMN and VPLMN, then analytics accuracy in VPLMN is improved, but data security and privacy concerns arise
Solution Approach 1:
The patent segments the analytics profile into multiple components including subscription information, analytics data, and machine learning models. This segmentation allows selective sharing of only necessary profile elements between HPLMN and VPLMN, improving analytics accuracy while maintaining data security by not exposing the entire profile.
Solution Approach 2:
The patent introduces an intermediary mechanism where the home network (HPLMN) generates and manages the analytics profile, which is then selectively provided to the visited network (VPLMN). This intermediary approach enables controlled data sharing through authentication and authorization protocols, resolving the contradiction between accuracy improvement and security concerns.
2Measurement precision
If complete UE analytics profile is shared with VPLMN, then analytics accuracy is improved, but data transmission complexity and overhead increase
Solution Approach 1:
The patent extracts only the necessary components of the analytics profile (subscription information, analytics data, machine learning models) from the complete UE profile and transmits them to VPLMN. This extraction principle reduces data transmission complexity and overhead while maintaining analytics accuracy by including only relevant information.
Solution Approach 2:
The patent applies partial action by sharing only the portion of the analytics profile that is necessary for VPLMN to provide accurate analytics services, rather than transmitting the complete profile. This reduces transmission complexity while sufficient accuracy is maintained through selective data sharing.
3Reliability
If UE data is collected and processed in HPLMN, then data privacy is protected, but VPLMN cannot perform accurate analytics without accessing the data
Solution Approach 1:
The patent creates a copy of the necessary analytics profile information and transmits it from HPLMN to VPLMN. This copying mechanism allows VPLMN to perform accurate analytics on roaming UEs without direct access to the user's private data stored in HPLMN, thus maintaining data privacy while enabling accurate analytics through the copied profile information.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for network data analytics profiling for a user equipment (UE) are provided. One method may include obtaining data related to a UE and generating analytics for the UE based on the obtained data, generating a UE analytics profile for the UE using at least one of the obtained data and/or the analytics generated for the UE, and storing the UE analytics profile in a repository. The method may also include receiving, from a network node in the visited network, a request to retrieve the UE analytics profile for the visited network. The method may then include generating the visited network UE analytics profile, and providing the visited network UE analytics profile to the network node in the visited network.