Adaptive End-to-End Delay Threshold for Real-Time Media
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Solution Overview
Problem
Current systems face challenges in maintaining a balance between end-to-end delay and quality of service in real-time media delivery, as existing algorithms to improve media quality introduce additional latency, and subjective delay thresholds may not accurately reflect human perception of delay in conversational interactions.
Innovation Solution
An adaptive end-to-end delay threshold system that monitors conversational interactivity properties to dynamically adjust delay times and allocate resources for quality of service applications, allowing for flexible quality of service processing based on real-time conversation conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If QoS processing algorithms (FEC, jitter buffer, error correction) are applied to improve media quality, then service quality is improved, but end-to-end delay increases
Solution Approach 1:
The patent implements dynamic adjustment of delay thresholds based on real-time conversation interactivity measurements. The system transitions from static, subjectively determined delay thresholds to adaptive thresholds that respond to actual conversation conditions, allowing optimal balance between QoS processing and delay management
Solution Approach 2:
The system changes the parameter of delay threshold from fixed subjective values to dynamically adjusted values based on measured conversation properties. This allows the delay threshold to adapt to different conversation states, enabling better trade-off between quality improvement and delay introduction
2Ease of manufacture
If a fixed delay threshold is used based on subjective tests, then system design is simplified, but it does not accurately reflect human perception of delay in real-time conversations
Solution Approach 1:
The patent introduces feedback mechanisms that measure actual conversation interactivity properties and use these measurements to adjust delay thresholds. This creates a closed-loop system where delay management is continuously optimized based on real-time conversation characteristics, improving accuracy of delay perception
Solution Approach 2:
The system automatically measures conversation properties and adjusts its own delay threshold parameters without requiring external subjective testing. The conversation itself provides the data needed for optimization, making the system self-adapting
3Speed
If delay threshold is reduced to maintain low E2E delay, then conversational interactivity is improved, but QoS processing capability is limited
Solution Approach 1:
The system dynamically adjusts the delay threshold based on measured conversation interactivity, allowing the threshold to expand when conversation pace permits and contract when responsiveness is critical. This enables the system to support QoS processing capability while maintaining appropriate conversational response times
Data Source
AI summary
An apparatus (300) and method (400) provides an adaptive end-to-end (E2E) delay threshold (DT) for one-way transmission of information blocks in an information stream of a conversation. Information streams of the conversation are monitored (410), and the E2E DT duration is determined based on detected occurrences of one or more interactive properties 5 associated with the information streams of the conversation (412). Using the adaptive E2E DT duration value, a determination is made as to whether to perform at least one Quality of Service (QoS) function (416).