一种TSN-5G跨域融合网络的端到端时延建模方法及系统
By constructing stochastic and deterministic network calculus models in the TSN-5G cross-domain converged network and combining them with SPI-DCM cross-domain parameter mapping, the problem of inconsistent cross-domain latency modeling was solved, achieving high-precision end-to-end latency calculation and improving the deterministic assurance of industrial applications.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING UNIV OF POSTS & TELECOMM
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack a unified latency modeling mechanism in TSN-5G cross-domain converged networks, resulting in overly conservative and inaccurate latency estimations. This makes it difficult to achieve refined analysis of multi-priority service flows, leading to high computational complexity, poor scalability, and unsuitability for industrial applications.
A TSN-5G cross-domain converged network is constructed. Based on the theory of random network calculus, a random arrival and service process model of the 5G domain is established. The statistical characteristic parameters are mapped to the deterministic arrival curve of the TSN domain through the SPI-DCM cross-domain parameter mapping mechanism. The upper bound of the deterministic delay of the service flow is calculated based on the theory of deterministic network calculus.
It achieves high-precision, analytically computable cross-domain time delay modeling, improves modeling accuracy, reduces conservatism, and provides deterministic assurance for industrial applications.
Smart Images
Figure CN122160274B_ABST