TSN Guard Band and Gate Duration Calculation Using EDCA
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Solution Overview
Problem
Current systems and methods are unable to automatically determine optimal Guard Band (GB) and Gate Duration (GD) for Time Sensitive Networking (TSN), often setting them to lengths that are too short or too long due to a lack of knowledge about the wireless medium and time errors.
Innovation Solution
A Central Network Controller (CNC) determines GB and GD by predicting Time Error (TE) using network standards, evaluating network status, and calculating components such as Access Category (AC), Contention Window (CW), and symbol duration, ensuring minimal interference and transmission delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If GB and GD are set to fixed default values, then device complexity is reduced, but transmission delays and time sensitivity deteriorate
Solution Approach 1:
The system automatically determines GB and GD values by monitoring its own operational parameters (queue depths, transmission times, time errors) without requiring external manual configuration. The CNC self-adjusts the scheduling parameters based on real-time network conditions, eliminating the need for complex manual setup while optimizing transmission timing.
Solution Approach 2:
The patent dynamically changes GB and GD parameters based on monitored network conditions such as queue depths, transmission times, and time errors. The system transitions from fixed default values to adaptive parameters that change according to actual operational requirements, resolving the contradiction between simplicity and optimization.
2Reliability
If GB and GD are set to longer durations, then transmission reliability is improved, but network efficiency and productivity deteriorate
Solution Approach 1:
The CNC continuously monitors network parameters including queue depths, transmission times, and time errors, using this feedback to dynamically adjust GB and GD values. The system increases parameters only when reliability issues are detected and reduces them when efficiency can be maintained, creating a closed-loop optimization that balances reliability and productivity.
Solution Approach 2:
The patent transforms static fixed values into dynamic adaptive parameters that change in real-time based on network conditions. GB and GD are no longer fixed but continuously adjusted according to monitored performance metrics, allowing the system to optimize the balance between reliability and efficiency under varying conditions.
3Productivity
If GB and GD are set to shorter durations, then network efficiency is improved, but transmission reliability and time sensitivity deteriorate
Solution Approach 1:
The system uses real-time feedback from network monitoring (queue depths, transmission times, time errors) to dynamically adjust GB and GD. When efficiency is high, shorter durations are used; when reliability issues arise, the feedback mechanism increases the durations accordingly, maintaining the optimal balance between efficiency and reliability.
Solution Approach 2:
The patent implements dynamic adjustment of GB and GD parameters based on monitored network conditions. The system transitions between shorter efficient durations and longer reliable durations as needed, creating a flexible scheduling mechanism that optimizes both efficiency and reliability under varying network conditions.
4Measurement precision
If manual configuration of GB and GD is used, then control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-configuration by automatically determining optimal GB and GD values through internal monitoring and calculation. The CNC monitors its own operational parameters and computes appropriate scheduling values without requiring user intervention, maintaining high optimization precision while dramatically improving ease of operation.
Solution Approach 2:
The patent replaces manual mechanical configuration with automated computational determination. Instead of requiring users to manually set GB and GD values, the system uses algorithms that automatically calculate optimal values based on monitored network conditions, substituting human operation with automated intelligent control.
Data Source
AI summary
The automatic determination of components for Time Sensitive Networking (TSN), and more specifically the automatic determination of the Gate Duration (GD) and Guard Band (GB) for TSN may be provided. To determine the GB and/or GD for a TSN gate, a Time Error (TE) may be determined, and TSN components may be received. An Access Category (AC) and a per-AC Enhanced Distributed Channel Access (EDCA) state may be determined using the TID, wherein the per-AC EDCA includes a Contention Window (CW) minimum. Next, an Arbitration Interframe Space Number (AIFSN) of an upcoming data unit is determined using the using the AC and per-AC EDCA. The GB may be determined based on the AIFSN, the CW minimum, and the TE. The Gate Duration (GD) may be determined based on the TE and calculating a number of symbols in a MAC Protocol Data Unit (MPDU) and the upcoming data unit.