QoE Assessment via IQX Correlation Functions
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Solution Overview
Problem
Existing methods for determining Quality of Experience (QoE) during VoLTE calls are inadequate, as they rely on limited POLQA measurements from user devices and do not provide reliable and accurate results, especially when applied to real VoLTE traffic.
Innovation Solution
A method that monitors real-time communication sessions to determine quality indicators and performance indicators, using a correlation function based on the IQX hypothesis to calculate QoE, incorporating coefficients from previous sessions and network metrics like jitter and packet loss, to provide a statistically relevant and accurate QoE assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If POLQA measurements are performed on user devices with dedicated test tools, then Quality of Experience can be measured, but the measurements are not statistically relevant due to limited sample size
Solution Approach 1:
The patent introduces network elements (measurement apparatus in the network, processing module) as intermediaries to collect QoE data from multiple user devices and aggregate it into a statistically significant sample. This mediator approach allows measuring QoE across the entire network population rather than relying on limited device-based measurements.
Solution Approach 2:
The patent creates a virtual model of QoE measurement by using correlation functions that replicate the relationship between QoS parameters and actual QoE. Instead of directly measuring QoE on every device, the system copies the measurement approach through mathematical models that predict QoE based on readily available QoS data from network monitoring.
2Reliability
If QoE is defined by qualitative indicators (KQIs) influenced by total end-to-end effects, then it reflects user perception, but it is difficult to express QoE in an objective and mathematical way
Solution Approach 1:
The patent transforms the qualitative QoE concept into quantitative parameters by establishing correlation functions between QoS metrics (packet loss, jitter, delay) and QoE indicators (MOS values). This parameter transformation allows mathematical expression of user perception while maintaining objective measurability through network monitoring.
Solution Approach 2:
The patent implements a feedback mechanism where QoE measurements from the network are continuously monitored and used to update correlation functions. The system learns from actual measurements and adjusts its mathematical models to better reflect user perception, creating a self-improving measurement system.
3Ease of manufacture
If existing methods use limited POLQA measurements from user devices, then implementation is simple, but the results are not reliable and accurate for real VoLTE traffic
Solution Approach 1:
The patent merges multiple measurement approaches by combining network-based QoS monitoring with user device QoE measurements. The system integrates data from multiple sources (network elements, user devices, correlation functions) to create a comprehensive and reliable QoE assessment that overcomes the limitations of any single measurement method.
Data Source
AI summary
A method for determining a Quality of Experience associated with a real-time communication session between user devices includes monitoring the real-time communication session and determining at least one quality indicator of the Quality of Experience, at least one first performance indicator of a Quality of Service, and at least one second performance indicator of the Quality of Service. Based on the quality indicator and the first performance indicator, the method determines, among a family of correlation functions indicative of the correlation between the Quality of Experience and a Quality of Service in respect of a generic real-time communication session, a correlation function which is indicative of the correlation between the Quality of Experience and the Quality of Service in respect of the monitored real-time communication session. Then the method applies the first performance indicator and the second performance indicator to the correlation function to determine said Quality of Experience.

