QoE Confidence Level for Mobile Subscribers
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Solution Overview
Problem
Current network monitoring systems fail to accurately measure Quality of Experience (QoE) for mobile subscribers, as they primarily focus on core network performance and do not adequately account for radio access network (RAN) issues such as cell congestion and coverage, which significantly impact user experience.
Innovation Solution
A method and system that determine Quality of Experience indicators by receiving Quality of Service indicators for a subscriber's session in both the core network and RAN, monitoring radio access bearer signaling, and calculating subscriber quality characteristics like cell coverage and capacity, to generate a more accurate QoE assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network monitoring systems focus on core network performance metrics, then Quality of Service measurement is improved, but Quality of Experience measurement precision deteriorates due to exclusion of RAN factors
Solution Approach 1:
The patent segments the monitoring system into distinct functional modules: a QoS indicator receiving module that collects core network metrics, a RAN quality characteristic determining module that assesses radio access network conditions, and a QoE indicator generating module that synthesizes both inputs. This segmentation allows the system to incorporate multiple data sources without creating a monolithic complex structure, thereby improving QoE measurement precision while managing system complexity through modular design
Solution Approach 2:
The patent introduces an intermediary processing layer that correlates QoS indicators from the core network with RAN quality characteristics. This intermediary module acts as a mediator that integrates data from two different network domains (core network and radio access network), enabling accurate QoE assessment by combining metrics that would otherwise remain separate. The intermediary correlation process resolves the contradiction by systematically merging multiple data streams without overwhelming system complexity
2Measurement precision
If QoS indicators from core network only are used, then data collection is simplified, but QoE estimation accuracy deteriorates due to exclusion of RAN performance factors
Solution Approach 1:
The patent applies local quality by determining RAN quality characteristics specifically for the radio access network portion of the subscriber's session, rather than uniformly monitoring all network aspects. The system selectively collects RAN metrics (such as signal strength, interference levels, and radio conditions) only where they impact QoE, while simultaneously incorporating core network QoS indicators. This localized approach to data collection improves QoE estimation accuracy by focusing on relevant RAN factors without unnecessarily expanding the total data volume to be processed
3Measurement precision
If comprehensive RAN and core network metrics are collected, then QoE assessment accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-establishing correlation relationships between QoS indicators and RAN quality characteristics. The system prepares correlation models and processing frameworks in advance, so that when actual measurement data arrives from both core network and RAN sources, the integration and analysis can proceed efficiently without extensive real-time computation. This preliminary preparation maintains high QoE assessment accuracy while reducing processing time by avoiding ad-hoc analysis of raw data
Data Source
AI summary
A method, computer program product and system for determining quality of experience indicator in a telecommunication network including core network and radio access network (RAN) are provided. Quality of service indicators for a subscriber's session associated with the core network are received. Quality characteristics of a radio signal transmitted through the RAN or obtained from the user equipment and correlated to the subscriber's session are determined. A quality of experience indicator is generated for the subscriber's session based on the quality of service indicators for the core network and the quality characteristics of the radio signal.