Network Analytics Sharing via Mobility and Session Signaling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication systems lack efficient mechanisms for network functions to proactively share network analytics data between network entities without explicit requests, leading to potential loss of analytics during mobility events and inefficient resource allocation.
Innovation Solution
Implement a mechanism for network functions to autonomously determine and proactively send network analytics data to other network functions using existing signaling procedures, including UE mobility, PDU session establishment, and policy association, with freshness and validity indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network functions use existing signaling procedures to proactively share analytics data, then resource optimization and communication efficiency are improved, but device complexity and signaling overhead increase
Solution Approach 1:
The patent enables existing signaling procedures (UE mobility, PDU session establishment, policy association) to serve dual purposes: their original functions plus analytics data transmission. This allows the same signaling messages to carry both control information and analytics data, improving resource efficiency without adding separate dedicated signaling channels.
Solution Approach 2:
The patent introduces a proactive analytics data sharing mechanism that acts as an intermediary between analytics data generation and consumption. Network functions can autonomously determine which analytics data to share and with whom, mediating the data flow without requiring explicit requests from each consumer, thus reducing overall system complexity.
2Loss of time
If network functions autonomously determine and send analytics data proactively, then latency is reduced and timeliness is improved, but information accuracy and data relevance may deteriorate
Solution Approach 1:
The patent implements preliminary action by enabling network functions to proactively send analytics data before explicit requests are made. This allows analytics data to be transmitted in advance during relevant events (mobility, session establishment), ensuring timely availability without waiting for consumer requests, thus reducing latency while maintaining relevance through event-driven triggering.
3Productivity
If analytics data is shared across multiple network functions, then resource allocation efficiency is improved, but information security and access control complexity increase
Solution Approach 1:
The patent implements self-service by enabling network functions to autonomously determine which analytics data to share and with which consumers based on pre-configured policies. Each network function independently evaluates data relevance, consumer eligibility, and sharing decisions without requiring centralized access control arbitration, simplifying security management while enabling broad data sharing.
Data Source
AI summary
There is disclosed a network apparatus that is caused to receive analytics data from a first network apparatus, determine that said analytics data is usable by a second network apparatus, and send said analytics data to the second network apparatus in dependence on said determining.


