Network Slice Experience Index for Dynamic QoE Evaluation
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Solution Overview
Problem
Current network service evaluation techniques are limited, as they solely rely on guaranteed Quality of Experience (QoE) for pricing purposes without considering actual network conditions, leading to an inability to dynamically adjust pricing based on actual QoE.
Innovation Solution
A system and method for generating a Network Slice Experience Index (SEI) by calculating the delta between guaranteed and actual QoE, allowing for dynamic evaluation and pricing of network slices based on actual network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network service evaluation is based solely on guaranteed QoE, then pricing can be statically determined, but the evaluation does not reflect actual network conditions and cannot dynamically adjust pricing
Solution Approach 1:
The patent implements feedback by continuously measuring actual QoE parameters (throughput, latency, packet loss) and comparing them against guaranteed QoE levels. This feedback loop enables the system to detect deviations between promised and delivered service quality, triggering dynamic pricing adjustments. The evaluation module uses this feedback to calculate experience indexes that reflect real network conditions, allowing pricing to adapt based on actual performance rather than static guarantees.
Solution Approach 2:
The patent transitions from static pricing based on guaranteed QoE to dynamic pricing that adapts to actual network conditions. The system continuously monitors network performance parameters and adjusts pricing in real-time based on the difference between guaranteed and actual QoE. This dynamic approach allows the network service to flexibly respond to changing conditions, optimizing revenue while maintaining service quality transparency.
2Ease of manufacture
If network service evaluation uses only guaranteed QoE metrics, then pricing is simple to determine, but it fails to capture actual user experience and network performance variations
Solution Approach 1:
The patent segments the QoE evaluation into multiple independent measurement components: throughput measurement, latency measurement, packet loss measurement, and experience index calculation. Each component is evaluated separately against its corresponding guarantee, allowing for precise measurement of specific performance aspects while maintaining overall evaluation simplicity. This segmentation enables accurate tracking of individual network parameters without overwhelming complexity.
Solution Approach 2:
The patent introduces an experience index as an intermediary metric that bridges guaranteed QoE and actual network performance. This intermediate calculation layer synthesizes multiple raw measurements (throughput, latency, packet loss) into a unified evaluation that reflects actual user experience. The experience index serves as a mediator between complex network measurements and simple pricing decisions, preserving measurement precision while maintaining ease of use.
3Ease of operation
If static pricing is used based on guaranteed QoE, then implementation is straightforward, but users pay the same rate regardless of actual service quality received
Solution Approach 1:
The patent changes the pricing parameter from a fixed value based on guaranteed QoE to a dynamic value that adjusts based on actual network performance parameters. The system modifies pricing according to measured deviations in throughput, latency, and packet loss from their guaranteed levels. This parameter change enables pricing to reflect actual service quality, allowing users to pay appropriately for the experience they receive while maintaining relatively simple implementation through automated measurements and calculations.
Data Source
AI summary
As described herein, a system, method, and computer program are provided for generating a network slice experience index for evaluating a network slice. In use, a guaranteed quality of experience (QoE) is determined for a slice of a network. For at least one point in time, an actual QoE of the network overall is measured. A slice experience index is generated based on a delta between the guaranteed QoE and the actual QoE. The slice of the network is evaluated using the slice experience index.