QoE Network Appliance for 5G Analytics Integration
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Solution Overview
Problem
Communications service providers face challenges in integrating analytics into 5G networks due to non-standardized interfaces and inconsistent data collection techniques, which hinders their ability to measure and ensure quality of experience (QoE) for subscribers and provide differentiated services.
Innovation Solution
A system and method that utilizes a QoE network appliance to generate a measured QoE score by combining radio access network (RAN) data, core network (CN) data, and network data analytics function (NWDAF) data, allowing for billing based on QoE requirements, and includes edge-based data reduction and forecasting capabilities to optimize network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If 5G networks use higher frequency radio waves to achieve increased speed, then network speed is improved, but geographic cell size must be reduced
Solution Approach 1:
The patent applies segmentation by dividing the network coverage area into smaller geographic cells to accommodate higher frequency radio waves. This allows the network to maintain high speed performance while managing the limited propagation range of millimeter wave frequencies through denser cell deployment.
2Measurement precision
If analytics are integrated into 5G networks to measure QoE, then measurement precision is improved, but device complexity increases due to non-standardized interfaces and inconsistent data collection techniques
Solution Approach 1:
The patent implements a universal QoE measurement framework that can collect and process data from multiple network sources (RAN, CN, NWDAF) through standardized interfaces. This multi-functional approach enables consistent QoE measurement across different network vendors and technologies without requiring separate solutions for each interface type.
Solution Approach 2:
The patent introduces a QoE network appliance as an intermediary component that standardizes data collection from various network functions. This mediator translates inconsistent data collection techniques from different vendors into a unified format, reducing integration complexity while maintaining measurement precision.
3Measurement precision
If multiple data sets (RAN, CN, NWDAF) are combined to generate QoE scores, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent merges multiple data sets from RAN, CN, and NWDAF sources into a unified QoE score through a standardized processing framework. This combining approach integrates diverse data types while managing complexity through consistent data models and processing procedures defined in the patent.
Data Source
AI summary
A system and method for measuring quality of experience (QoE) satisfaction for an application accessing a CSP network is described. A QoE requirement is associated with an application executed on a mobile device that is communicatively coupled to a CSP network. The QoE requirement for the application includes a QoE latency requirement, a QoE bandwidth requirement, and a QoE packet loss rate requirement. An edge-collection module gathers a radio access network (RAN) data set, and a core network (CN) data set that includes a network data analytics function (NWDAF) data set. The QoE network appliance generates a measured QoE score with the RAN data set, the CN data set, and the NWDAF data set. The measured QoE score is associated with the latency measurement, the bandwidth measurement, and the packet loss rate measurement. A subscriber ID is billed when a charging function determines the measured QoE satisfies the QoE requirement.