5G Network Analytics Synchronization for Consistent Policy Updates
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Solution Overview
Problem
The asynchronous nature of network data analytics functions (NWDAFs) in 5G telecommunication networks leads to sub-optimal and conflicting network policies due to asynchronous data delivery, causing unintended interactions and inefficiencies in network management.
Innovation Solution
Implementing a dynamic timer-based approach, pre-coordination among NWDAF instances, and a central aggregation point to synchronize and align the delivery of analytics data, minimizing asynchronicity gaps and ensuring timely and coordinated delivery of analytics to network functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple NWDAFs operate independently without synchronization, then each NWDAF can process analytics data autonomously and quickly, but the analytics data delivery becomes asynchronous leading to sub-optimal and conflicting network policies
Solution Approach 1:
The patent applies preliminary action by having NWDAF instances pre-coordinate their analytics data delivery through timer synchronization. Before delivering analytics data, each NWDAF sets a timer based on the analytics data freshness requirement, and waits for other NWDAFs to complete their delivery. This ensures that all analytics data is delivered synchronously before network policies are updated, preventing conflicting policies while maintaining processing efficiency.
2Reliability
If NWDAFs synchronize their analytics data delivery, then network policy consistency is improved, but the complexity of coordination between multiple NWDAFs increases
Solution Approach 1:
The patent applies self-service by enabling each NWDAF instance to autonomously determine its own timer value based on the analytics data freshness requirement received from the consumer. Each NWDAF independently calculates its delivery time and waits for others without requiring complex centralized coordination or inter-NWDAF communication protocols. This simplifies the coordination mechanism while ensuring synchronized delivery.
3Loss of time
If analytics data is delivered immediately without waiting for other NWDAFs, then data freshness is improved, but asynchronous delivery causes unintended interactions and inefficiencies in network management
Solution Approach 1:
The patent applies preliminary action by having each NWDAF pre-calculate the maximum acceptable delivery time based on the analytics data freshness requirement from the consumer. Each NWDAF sets a timer with this pre-determined value and delivers data when the timer expires, ensuring that all deliveries occur within the acceptable time window while maintaining synchronization. This prevents asynchronous conflicts while minimizing time loss.
Data Source
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AI summary
The disclosure relates to a pre-5th-generation (5G) or 5G communication system to be provided for supporting higher data rates beyond 4th-generation (4G) communication system such as long term evolution (LTE). Disclosed is a method of providing processed analytics data from a plurality of analytics data suppliers to an analytics data consumer, wherein the analytics data consumer takes action on the basis of the processed analytics data only when the processed analytics data from all of the plurality of analytics data suppliers has been received or until a defined period has elapsed.