QoS Parameter Processing for Deterministic 5G Service
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Solution Overview
Problem
Conventional 3GPP networks face challenges in achieving deterministic service requirements due to high end-to-end latency and jitter, which are not adequately addressed by existing packet forwarding mechanisms, leading to suboptimal user experience and unreliable data transmission in applications like industrial control networks.
Innovation Solution
A quality of service (QoS) parameter processing method is introduced, where a deterministic coordinator assigns QoS parameters to network domains within a 5G communications system, allowing precise resource scheduling by dividing end-to-end QoS parameters based on capability information of backhaul, radio access, and user plane networks, ensuring bounded latency, jitter, and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If packet forwarding is based on priority only, then device complexity is reduced, but latency and jitter increase leading to poor deterministic service quality
Solution Approach 1:
The patent segments the end-to-end QoS parameter into multiple domain-specific QoS parameters (radio access network domain, backhaul network domain, user plane function network element domain). Each domain can then independently schedule packets based on its own QoS requirements, achieving deterministic service without requiring complex end-to-end priority management.
Solution Approach 2:
The patent transforms the single end-to-end QoS parameter into multiple differentiated domain QoS parameters through the deterministic coordinator. This parameter transformation enables precise control of latency and jitter in each network domain, improving deterministic service quality while maintaining manageable device complexity.
2Ease of operation
If end-to-end QoS parameter is used without division, then configuration simplicity is maintained, but scheduling accuracy deteriorates leading to high latency and jitter
Solution Approach 1:
The deterministic coordinator acts as an intermediary that automatically divides the end-to-end QoS parameter into domain-specific QoS parameters. This intermediary performs the complex division operation automatically, maintaining configuration simplicity for the operator while achieving high scheduling accuracy through differentiated domain QoS parameters.
Solution Approach 2:
The patent performs QoS parameter division in advance during session establishment or handover phases. The deterministic coordinator pre-calculates and assigns domain-specific QoS parameters to each network element before data transmission begins, ensuring scheduling accuracy is achieved without requiring complex real-time configuration operations.
3Ease of manufacture
If priority-based forwarding is used, then implementation simplicity is improved, but latency and jitter performance worsen failing to meet deterministic service requirements
Solution Approach 1:
The patent applies local quality by assigning different QoS parameters to different network domains based on their specific characteristics and requirements. Each domain (radio access, backhaul, user plane) receives customized QoS parameters tailored to its local conditions, enabling optimized packet scheduling that reduces latency and jitter while maintaining implementation simplicity through domain-specific rules.
Data Source
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AI summary
A quality of service QoS parameter processing method and network element, a system, and a storage medium are disclosed. The method includes: obtaining, by a control plane network element, a first QoS parameter between a terminal device and a user plane function network element; and obtaining capability information of a first network domain, determining a second QoS parameter of the first network domain based on the capability information of the first network domain and the first QoS parameter, and sending first information of the second QoS parameter to the first network domain. The first network domain includes at least one of a radio access network, a backhaul network, and a user plane function network element. This solution can improve data packet scheduling accuracy and user experience.