Data Collection Coordination for Selective Analytics Storage

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Solution Overview

Problem

Existing 5G network architectures face inefficiencies in data collection and distribution, leading to unnecessary resource consumption, unneeded data storage, and complexity in managing subscriptions due to life-cycle events and lack of coordination among NWDAF instances.

Innovation Solution

A data management framework incorporating a Data Collection Coordination Function (DCCF) that centralizes data collection requests, manages subscriptions, and isolates consumers from producers, using a messaging framework to ensure data is only produced when needed and stored efficiently in data repositories.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If data collection requests are managed in a distributed manner across multiple NWDAF instances, then system reliability is improved, but device complexity and resource consumption increase

Engineering Contradiction:
Improvesystem reliabilityVSAvoidsubscription management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a Data Collection Coordination Function (DCCF) as an intermediary entity that centralizes the management of data collection requests and subscriptions. The DCCF receives requests from consumer entities, determines appropriate data sources, manages subscriptions, and coordinates data collection across multiple NWDAF instances. This mediator approach maintains system reliability through distributed architecture while reducing management complexity by centralizing coordination functions.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If data is continuously collected and stored from all data sources, then data availability for analytics is improved, but network resource consumption and storage costs increase

Engineering Contradiction:
Improvedata availabilityVSAvoidnetwork resource consumption
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent implements preliminary action by having the DCCF determine data source requirements before actual data collection occurs. The system evaluates consumer entity needs, identifies specific data sources, and establishes subscriptions only for required data. This prevents continuous collection of unnecessary data, reducing network resource consumption while ensuring data availability for intended analytics purposes.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system dynamically changes operational parameters by adjusting data collection frequency, volume, and targets based on consumer entity requirements and data source capabilities. The DCCF modifies subscription parameters, data request patterns, and storage priorities to optimize resource usage while maintaining adequate data availability for analytics operations.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If multiple NWDAF instances operate independently to collect data, then processing capacity is improved, but coordination overhead and inefficiency increase

Engineering Contradiction:
Improvedata processing capacityVSAvoidcoordination overhead
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing system functions into distinct components: consumer entities that define data needs, the DCCF that coordinates collection, data sources that provide data, and storage systems that retain data. Multiple NWDAF instances operate as segmented processing units with specialized roles, maintaining high processing capacity while reducing coordination overhead through clear functional boundaries and centralized management of cross-instance operations.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS12549554B2Data collection coordination and persistent storage control for analytics
Publication Date: 2026.02.10 NOKIA TECHNOLOGIES OY
  • US12549554B2 patent drawing
  • US12549554B2 patent drawing
  • US12549554B2 patent drawing

AI summary

Systems, methods, apparatuses, and computer program products for data collection coordination and persistent storage control for analytics. For example, certain embodiments may provide a unified data management framework that efficiently serves data collection and distribution needs and isolates a consumer from a producer. Further, some embodiments may provide for a reduction or elimination of unnecessary data storage in a data repository used in association with the data management framework provided by certain embodiments. Specifically, certain embodiments may allow a consumer entity that is requesting specific data to specify whether the data is to be kept in persistent storage in a data repository. The consumer entity, when requesting data, may send an indication that data is to be provided to the consumer entity only, that data is to be provided to the data repository only, or that the data is to be provided to the data repository and the consumer entity.