基于5G-A与TSN-MEC融合的工业园区低时延网络算法研究

Research on Low-Latency Network Algorithms in Industrial Parks Based on the Integration of 5G-A and TSN-MEC

摘要: 针对工业园区复杂环境下对网络低时延与高可靠性的迫切需求，本文提出了一种基于5G-A (5G-Advanced)与TSN-MEC融合的工业园区低时延网络融合算法。该算法首先通过时间敏感网络(Time-Sensitive Networking, TSN)实现微秒级协同控制，保证时间关键型业务的确定性时延；然后依托于多接入边缘计算(Multi-access Edge Computing, MEC)提供分布式智能，实现了计算任务的就近处理与资源优化分配。仿真实验表明，与传统算法相比，本文所提算法降低端到端时延的同时，提升了系统可靠性，有效优化了网络资源利用率。

Abstract: To address the urgent need for low-latency and high-reliability networks in complex industrial park environments, this paper proposes a low-latency network fusion algorithm based on the integration of 5G-A (5G-Advanced) and TSN-MEC. The algorithm first employs Time-Sensitive Networking (TSN) to achieve microsecond-level collaborative control, ensuring deterministic latency for time-critical services. It then leverages Multi-access Edge Computing (MEC) to provide distributed intelligence, enabling localized processing of computational tasks and optimized resource allocation to some extent. Simulation results demonstrate that, compared to traditional algorithms, the proposed approach reduces end-to-end latency while improving system reliability and effectively optimizing network resource utilization.