TSN Link Setting Adaptation for Deterministic Traffic
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Solution Overview
Problem
Existing Time Sensitive Network (TSN) technologies struggle with inefficient and inflexible communication link settings, leading to suboptimal performance in terms of capacity, reliability, and latency, particularly for time-critical traffic.
Innovation Solution
A centralized configuration device (CCD) dynamically adjusts communication link settings, including protected window duration, guard band, and modulation and coding schemes based on real-time traffic conditions and threshold values, ensuring efficient and reliable transmission of time-sensitive data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If communication link settings are kept fixed for stability, then device complexity is reduced, but adaptability to changing traffic conditions deteriorates
Solution Approach 1:
The patent implements dynamic link settings where the centralized configuration device continuously monitors traffic conditions and adjusts communication parameters in real-time. The system transitions from static to dynamic configuration, allowing link settings to adapt to changing network conditions while maintaining manageable complexity through automated control algorithms.
Solution Approach 2:
The system employs feedback mechanisms where the centralized configuration device receives information about current traffic conditions and uses this feedback to adjust link settings. This closed-loop control enables the system to adapt to changing conditions automatically, resolving the contradiction between adaptability and complexity through intelligent feedback-driven adjustment.
2Reliability
If protected window duration is increased to improve reliability of time-critical traffic, then transmission reliability is improved, but communication link capacity deteriorates
Solution Approach 1:
The patent dynamically adjusts the protected window duration based on real-time traffic conditions. When time-critical traffic demands are high, the protected window is expanded to ensure reliable transmission. When traffic conditions are lighter, the protected window is reduced to maximize link capacity. This dynamic adjustment resolves the contradiction between reliability and capacity.
Solution Approach 2:
The system changes the protected window parameter dynamically based on traffic conditions and priority requirements. By adjusting this key parameter, the system can optimize the balance between ensuring reliable delivery of time-critical traffic and maintaining overall link capacity for general traffic flows.
3Reliability
If guard band is increased to reduce interference between traffic streams, then transmission reliability is improved, but time efficiency deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of guard band duration based on actual interference conditions and traffic priorities. The guard band is expanded only when and where interference risks are detected, rather than being uniformly applied. This dynamic approach maintains transmission reliability while minimizing time losses in efficient traffic scenarios.
Solution Approach 2:
The system applies different guard band configurations to different traffic streams and time periods based on local conditions. High-priority time-critical traffic may receive larger guard bands for reliability, while lower-priority traffic uses minimal guard bands to maximize efficiency. This localized quality adjustment resolves the contradiction between reliability and time efficiency.
4Productivity
If link settings are dynamically adjusted to improve capacity, then communication efficiency is improved, but deterministic quality of service deteriorates
Solution Approach 1:
The patent segments traffic into different priority classes with differentiated link settings. Time-critical traffic is allocated guaranteed resources with deterministic service guarantees, while non-critical traffic utilizes remaining capacity with dynamic adjustment. This segmentation enables both high overall efficiency and deterministic quality of service for priority traffic simultaneously.
Solution Approach 2:
The system changes link parameters dynamically but maintains deterministic guarantees for time-critical traffic through reserved resources and minimum performance commitments. Non-critical traffic parameters are adjusted freely to maximize efficiency. This selective parameter adjustment resolves the contradiction between overall efficiency and deterministic quality of service.
Data Source
AI summary
A device may determine a plurality of link settings for a communication link within a time sensitive network. The device may determine a threshold value for the communication link based on the plurality of link settings. The device may determine a current value of a parameter of the communication link based on the plurality of link settings. The device may compare the current value of the parameter to a threshold value. Responsive to the current value of the parameter being less than the threshold value, the device may successively update a link setting of the plurality of link settings to cause the current value of the parameter to approach the threshold value.