一种新的TSN-5G流QoS映射算法QoS- man

IF 0.5 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zenepe Satka, M. Ashjaei, H. Fotouhi, M. Daneshtalab, Mikael Sjödin, S. Mubeen
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引用次数: 6

摘要

将有线以太网(如时间敏感网络(TSN))集成到5G蜂窝网络中,需要一种流量管理技术,以有效地将TSN流量映射到5G服务质量(QoS)流。3GPP Release 16提供了一组预定义的QoS特性,如优先级、数据包延迟预算、最大数据突发量等,可用于5G QoS流。在这种情况下,将TSN流量流映射到TSN-5G集成网络中的5G QoS流至关重要,因为映射会对集成网络中的端到端QoS产生重大影响。本文提出了一种新颖高效的映射算法,将不同的TSN流量映射到5G QoS流。据我们所知,这是第一个基于应用约束的qos感知映射算法,用于在TSN和5G网络域之间交换流。我们在具有随机的截止日期、抖动、带宽和丢包率约束的综合场景中评估了所提出的映射算法。评价结果表明,所提出的映射算法能够满足90%以上的应用约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS-MAN: A Novel QoS Mapping Algorithm for TSN-5G Flows
Integrating wired Ethernet networks, such as Time-Sensitive Networks (TSN), to 5G cellular network requires a flow management technique to efficiently map TSN traffic to 5G Quality-of-Service (QoS) flows. The 3GPP Release 16 provides a set of predefined QoS characteristics, such as priority level, packet delay budget, and maximum data burst volume, which can be used for the 5G QoS flows. Within this context, mapping TSN traffic flows to 5G QoS flows in an integrated TSN-5G network is of paramount importance as the mapping can significantly impact on the end-to-end QoS in the integrated network. In this paper, we present a novel and efficient mapping algorithm to map different TSN traffic flows to 5G QoS flows. To the best of our knowledge, this is the first QoS-aware mapping algorithm based on the application constraints used to exchange flows between TSN and 5G network domains. We evaluate the proposed mapping algorithm on synthetic scenarios with random sets of constraints on deadline, jitter, bandwidth, and packet loss rate. The evaluation results show that the proposed mapping algorithm can fulfill over 90% of the applications’ constraints.
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来源期刊
CiteScore
1.70
自引率
14.30%
发文量
17
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