Developing a Translation Technique for Converged TSN-5G Communication

被引:11
作者
Satka, Zenepe [1 ]
Pantzar, David [1 ]
Magnusson, Alexander [1 ]
Ashjaei, Mohammad [1 ]
Fotouhi, Hossein [1 ]
Sjodin, Mikael [1 ]
Daneshtalab, Masoud [1 ]
Mubeen, Saad [1 ]
机构
[1] Malardalen Univ, Vasteras, Sweden
来源
18TH IEEE INTERNATIONAL WORKSHOP ON FACTORY COMMUNICATION SYSTEMS 2022 (WFCS 2022) | 2022年
关键词
TSN; 5G; URLLC; 3GPP; TSN Translator; 5G; AUTOMATION; NETWORK;
D O I
10.1109/WFCS53837.2022.9779191
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Time Sensitive Networking (TSN) is a set of IEEE standards based on switched Ethernet that aim at meeting high-bandwidth and low-latency requirements in wired communication. TSN implementations typically do not support integration of wireless networks, which limits their applicability to many industrial applications that need both wired and wireless communication. The development of 5G and its promised Ultra-Reliable and Low-Latency Communication (URLLC) integrated with TSN would offer a promising solution to meet the bandwidth, latency and reliability requirements in these industrial applications. In order to support such an integration, we propose a technique to translate the traffic between TSN and 5G communication technologies. As a proof of concept, we implement the translation technique in a well-known TSN simulator, namely NeSTiNg, that is based on the OMNeT++ tool. Furthermore, we evaluate the proposed technique using an automotive industrial use case.
引用
收藏
页码:103 / 110
页数:8
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