5G to TSN Network Integration via Dynamic Resource Allocation
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Solution Overview
Problem
Current integration methods between Fifth Generation (5G) mobile telecommunications networks and Time Sensitive Networks (TSN) are static, leading to inefficient utilization of 5G data communication resources and manual configuration of 5G system resources for TSN data streams, limiting the ability to handle more data streams, especially under full load scenarios.
Innovation Solution
A method that maps communication attributes of 5G networks to TSN networks, allocates data communication capabilities based on available resources, and advertises these capabilities to TSN networks, allowing for dynamic interfacing and efficient resource utilization without altering the communication protocol of the TSN network, thereby enabling smooth interaction between networks with different Quality of Service (QoS) and data transmission attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a static integration approach is used between 5G and TSN networks, then the configuration is simple to implement, but the utilization of 5G data communication resources is inefficient and the ability to handle additional data streams is limited
Solution Approach 1:
The patent implements dynamic integration between 5G and TSN networks by enabling the 5G core network to dynamically allocate and advertise data communication capabilities based on available resources. The network function continuously monitors resource availability and adjusts the advertised capabilities accordingly, transforming the static configuration into a dynamic system that adapts to changing load conditions and resource availability.
Solution Approach 2:
The 5G network function automatically performs resource allocation and capability advertising without manual configuration. The system self-manages the mapping between 5G QoS parameters and TSN attributes, and dynamically updates the advertised capabilities based on current resource status, eliminating the need for manual intervention while improving resource utilization.
2Productivity
If manual configuration of 5G system resources is used for TSN data streams, then configuration errors are reduced, but the time and effort required for setup increases and scalability is limited
Solution Approach 1:
The system implements automated resource allocation where the 5G network function automatically maps TSN data stream requirements to available 5G resources based on predefined QoS parameter mappings. This self-configuration mechanism eliminates manual setup time while maintaining proper resource allocation, enabling the network to handle additional data streams without proportionally increasing configuration effort.
Solution Approach 2:
The patent establishes parameter mappings between 5G QoS attributes (such as QoS Flow ID, 5QI, guaranteed bit rate, maximum bit rate) and TSN attributes (such as bandwidth, latency, jitter). These parameter transformations enable automatic resource allocation by converting TSN service requirements into 5G network parameters that can be automatically managed and allocated.
3Adaptability or versatility
If the 5G network advertises fixed data communication capabilities to TSN, then the TSN network can operate reliably, but the 5G network cannot adapt to fluctuating resource availability and demands
Solution Approach 1:
The patent implements dynamic capability advertising where the 5G network function continuously monitors available resources and updates the advertised data communication capabilities to the TSN network accordingly. This dynamic approach allows the system to adapt to fluctuating resource availability while maintaining reliability by only advertising capabilities that can be guaranteed at any given moment.
Solution Approach 2:
The system implements a feedback mechanism where the 5G network function monitors resource usage and availability, and uses this information to adjust the advertised capabilities. This feedback loop ensures that the TSN network receives accurate information about available resources, enabling reliable operation while adapting to changing conditions without overcommitting resources.
Data Source
AI summary
A method of and a network function arranged for enabling data exchange between a first communication network having first data communication capabilities, such as a 5G network, and a second communication network, such as a TSN, having second data communication capabilities different from the first data communication capabilities. Communication attributes of corresponding first and second data communication capabilities are mapped (41). Communication capabilities available in the first communication network are allocated (42) for use by the second communication network, and the allocated data communication capabilities are advertised (43) to the second communication network, represented in accordance with the attributes mapping (41).