QoE Network Appliance for 5G Latency and Bandwidth Monitoring
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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, making it difficult to determine and ensure customer quality of experience (QoE) and provide differentiated services.
Innovation Solution
A system and method that utilizes a QoE network appliance to gather and associate Radio Access Network (RAN) data, Core Network (CN) data, and Network Data Analytics Function (NWDAF) data to determine QoE requirements, including latency, bandwidth, and packet loss rate, enabling real-time monitoring and billing based on subscriber expectations.
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 segments the network into multiple smaller geographic cells to accommodate higher frequency radio waves. By dividing the coverage area into smaller units, the system can deploy more cells across the same geographic region, enabling higher speeds through increased network capacity while managing the limitations of higher-frequency signals that have shorter ranges.
2Measurement precision
If analytics are integrated into 5G networks to determine QoE requirements, then customer experience monitoring is improved, but device and network complexity increases
Solution Approach 1:
The patent introduces a QoE network appliance as an intermediary component that specializes in collecting, processing, and analyzing QoE data. This intermediary handles the complexity of analytics integration, allowing the core 5G network to maintain its primary functions while gaining enhanced QoE measurement capabilities through a dedicated subsystem that manages the analytical complexity.
3Measurement precision
If multiple data sets (RAN, CN, NWDAF) are gathered and associated to determine QoE requirements, then QoE determination accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent merges multiple data sets from different network functions (RAN, CN, and NWDAF) into a unified QoE determination process. By combining these diverse data sources through a standardized interface and common processing framework, the system achieves comprehensive QoE measurement accuracy while reducing the complexity that would arise from managing separate analysis systems for each data type.
Data Source
AI summary
A system and method for determining a quality of experience (QoE) requirement for an application accessing a CSP network is described. When the application is executed on a mobile device, a message is communicated from the mobile application to a QoE network appliance. The message is associated with a QoE requirement for latency, bandwidth, and packet loss rate. A radio access network (RAN) data set and a core network (CN) data set that includes a network data analytics function (NWDAF) data set is identified and communicated to the QoE network appliance which associates the RAN data set, the CN data set, and the NWDAF data with the requirements for said latency, bandwidth, and packet loss rate, and generates a measured QoE Score.