Dynamic TSN Policy Modification for 5G Wireless Fluctuations

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Solution Overview

Problem

The integration of 5G networks with IEEE 802.1-based TSN networks poses challenges in translating TSN traffic policies to application QoS parameters and network QoS parameters, particularly in ensuring deterministic communication requirements due to fluctuations in wireless network performance, especially for mobile devices.

Innovation Solution

A middleware layer is introduced to negotiate TSN QoS, service, and bridge parameters, allowing dynamic adaptation of service and port management policies to ensure compliance with TSC requirements, independent of the 5GS network, through mechanisms like FFAE-S and FFAE-C, which monitor radio conditions and UE context to adjust policies accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If 5G networks are integrated with IEEE 802.1-based TSN networks to support deterministic communication, then time-sensitive communication capabilities are improved, but communication reliability deteriorates due to fluctuations in wireless network performance

Engineering Contradiction:
Improvedeterministic communication reliabilityVSAvoidadaptability to wireless network fluctuations
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamic QoS parameter adjustment by continuously monitoring wireless network conditions and UE mobility states, then adapting TSN policy parameters (such as latency budgets, jitter tolerance, and bandwidth allocation) in real-time to match current network conditions, allowing the system to maintain deterministic communication guarantees despite wireless fluctuations

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system modifies QoS parameters including latency requirements, packet loss thresholds, and bandwidth profiles based on detected trigger events such as radio condition degradation or UE mobility changes, enabling the network to adjust TSN service characteristics to match actual wireless performance while maintaining end-to-end deterministic guarantees

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If dynamic policy adaptation is implemented to respond to trigger events, then adaptability to network conditions is improved, but device complexity increases due to additional monitoring and negotiation mechanisms

Engineering Contradiction:
Improvedynamic policy adaptabilityVSAvoidmiddleware layer complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a middleware layer as an intermediary between the TSN application layer and the 5G network layer, which handles all trigger event monitoring, QoS parameter translation, and policy negotiation functions. This intermediary abstracts the complexity from end applications while enabling dynamic adaptation through standardized interfaces with network functions like SMF and PCF

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system segments the policy management function into separate components: trigger event detection at the UE level, centralized policy determination at the application enabling server, and network-side enforcement through SMF/PCF. This segmentation distributes complexity across multiple manageable functions rather than concentrating it in a single complex entity

Inventive Principle:
Principle #1Segmentation

3Reliability

If strict TSC KPIs are maintained regardless of network conditions, then communication quality is improved, but network resource utilization worsens due to inability to adapt to actual conditions

Engineering Contradiction:
ImproveTSC service qualityVSAvoidnetwork resource efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The system dynamically adjusts TSC KPI requirements based on actual wireless network conditions and UE mobility states, allowing latency budgets and packet loss thresholds to be relaxed or tightened according to real-time measurements, thereby optimizing network resource allocation while maintaining acceptable service quality under varying conditions

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent implements feedback mechanisms where QoS monitoring data from the network is fed back to the application enabling server, which then adjusts TSN policy parameters based on actual performance versus target KPIs, enabling continuous optimization of the balance between service quality guarantees and network resource efficiency

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP4179713B1Policy modification in a TSN system
Publication Date: 2025.07.02 LENOVO (SINGAPORE) PTE LTD
  • EP4179713B1 patent drawingFigure 1
  • EP4179713B1 patent drawingFigure 2
  • EP4179713B1 patent drawingFigure 3

AI summary

Apparatuses, methods, and systems are disclosed for policy modification in a TSN system. One apparatus (700) includes an application interface (745) that receives (805) a trigger event, the trigger event indicating a change to at least one of: a wireless radio parameter, a UE QoS parameter, and UE context information. A processor (705) determines (810) a first policy parameter for at least one UE and requests (815) a policy modification from a TSN system, said request including the first policy parameter. Here, the first policy parameter comprising at least one of: a first service parameter, a first QoS parameter and a first port management parameter. The application interface (745) receives (820) a second policy parameter based on the first policy parameter from the TSN system and transmits (825) the second policy parameter to at least one network entity and/or the at least one UE.