A Novel HSTF-PN Based Interconnection Model for Integration of 5G and Time-Sensitive Networking

IF 7.3 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2026-01-01 Epub Date: 2025-07-10 DOI:10.1109/TNSE.2025.3586349

Zheyi Chen;Dajun Du;Minrui Fei;Zongping Zhou;Jinhai Deng;Huosheng Hu

引用次数: 0

Abstract

This paper presents an integrated solution for 5G and Time-Sensitive Networking (TSN), incorporating a protocol conversion mechanism, a Hybrid Stochastic Timed Fuzzy Petri Net (HSTF-PN) model, and a customized TSN node time synchronization scheme. First, a reverse protocol mapping-based conversion mechanism is introduced to address interconnection challenges between 5G and TSN protocols. Second, the HSTF-PN model, which integrates stochastic delays and fuzzy logic, is proposed to dynamically optimize network resource allocation. Third, a customized TSN node time synchronization scheme, implemented with FPGA hardware acceleration, enables high-speed data processing for precise clock alignment. Finally, the proposed 5G–TSN integration solution is validated on an FPGA platform, demonstrating its effectiveness in ensuring clock consistency, minimizing delays, and enhancing data flow efficiency.

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一种新的基于HSTF-PN的5G与时间敏感网络集成互连模型

本文提出了一种5G与时间敏感网络（TSN）的集成解决方案，包括协议转换机制、混合随机定时模糊Petri网（HSTF-PN）模型和自定义TSN节点时间同步方案。首先，引入了一种基于反向协议映射的转换机制，解决了5G与TSN协议之间的互连挑战。其次，提出了将随机延迟与模糊逻辑相结合的HSTF-PN模型，实现了网络资源的动态优化配置；第三，采用FPGA硬件加速实现定制的TSN节点时间同步方案，实现高速数据处理，实现精确时钟校准。最后，本文提出的5G-TSN集成方案在FPGA平台上进行了验证，证明了其在保证时钟一致性、最小化延迟和提高数据流效率方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.