5G Deterministic Transmission Scheduling for TSN Delay Control
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Solution Overview
Problem
The existing method of simulating a 5G system as a bridge in a Time-Sensitive Networking (TSN) network for end-to-end deterministic transmission in a 5G system leads to large delay variations and inefficient resource allocation due to uncontrollable data transmission based on best effort, resulting in increased delay indicators and wastage of network resources.
Innovation Solution
The 5G system path is split into multi-segment switching nodes, with each segment reporting capability information to a centralized network element that generates scheduling policies for deterministic transmission, allowing precise resource allocation and dynamic balancing of network resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If statistical multiplexing and HARQ retransmission are used to improve resource utilization, then system throughput increases, but transmission delay increases and QoS cannot be guaranteed
Solution Approach 1:
The patent segments uplink resources into two distinct types: guaranteed resources (first uplink resources) for delay-sensitive traffic and statistical resources (second uplink resources) for non-delay-sensitive traffic. This segmentation allows the system to guarantee QoS for critical services while still utilizing statistical multiplexing for other traffic, thereby resolving the contradiction between throughput improvement and delay guarantee.
Solution Approach 2:
The network device acts as an intermediary by allocating different resource types based on QoS requirements. It mediates between the demand for high throughput (via statistical multiplexing) and the need for low delay (via guaranteed resources), enabling the terminal to select appropriate resources based on traffic characteristics.
2Productivity
If dynamic resource allocation is used to improve resource utilization, then spectral efficiency increases, but transmission reliability decreases due to potential resource exhaustion
Solution Approach 1:
The patent implements beforehand cushioning by pre-allocating guaranteed uplink resources to terminals with delay-sensitive services. This ensures that these terminals always have available resources for urgent transmissions, preventing resource exhaustion scenarios and maintaining transmission reliability even when statistical resources are fully utilized.
Solution Approach 2:
The system dynamically changes resource allocation parameters based on service requirements. For delay-sensitive services, guaranteed resource parameters are maintained at high levels to ensure reliability. For other services, statistical resource parameters are optimized for spectral efficiency. This parameter differentiation resolves the contradiction between reliability and spectral efficiency.
3Productivity
If all uplink resources are allocated dynamically without guarantees, then resource utilization maximizes, but QoS for delay-sensitive services cannot be ensured
Solution Approach 1:
The patent applies local quality by providing different resource allocation qualities to different terminals or services. Delay-sensitive services receive guaranteed resources with high reliability characteristics, while other services receive statistical resources optimized for overall utilization. This local differentiation enables the system to maximize resource utilization while maintaining QoS adaptability for diverse service requirements.
Data Source
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AI summary
This application discloses a deterministic transmission method, a communication apparatus, and a storage medium, and relates to the communication field. In the method, a radio access network device may generate deterministic transmission capability information of a first switching node, and send the deterministic transmission capability information to a first network element. The first switching node includes the radio access network device and a terminal. Then, the radio access network device may receive a first scheduling policy that is delivered by the first network element based on the deterministic transmission capability information of the first switching node, so that deterministic transmission can be performed according to the first scheduling policy. This reduces a delay variation of a QoS flow carrying a TSN flow in a 5GS, and can avoid a need to select a QoS flow whose delay indicator is excessively high for the TSN flow.