Skip to main content

Modeling Time Aware Shaping in an Ethernet Fronthaul

Al-Hares, Mohamad Kenan and Assimakopoulos, Philippos and Muench, Daniel and Gomes, Nathan J. (2017) Modeling Time Aware Shaping in an Ethernet Fronthaul. In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference. IEEE. ISBN 978-1-5090-5020-8. E-ISBN 978-1-5090-5019-2. (doi:10.1109/GLOCOM.2017.8254714) (KAR id:65872)

PDF Author's Accepted Manuscript
Language: English
Download (475kB) Preview
[thumbnail of TSN_Globecom Paper.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL
https://dx.doi.org/10.1109/GLOCOM.2017.8254714

Abstract

An Opnet model of a time-aware shaper (TAS) based on the IEEE 802.1Qbv standard is presented. The TAS model is assumed to be the scheduling entity in an Ethernet-based fronthaul network, comprising of Ethernet switches. The fronthaul transports different traffic flow types as envisioned in next generation Radio Access Networks (RANs), including those for a timing protocol (based on the precision time protocol) and those from the implementation of different RAN functional subdivisions. The performance of the TAS is compared to that of a strict priority regime and is quantified through the frame delay variation of the high priority traffic when this contends with lower priority traffic. The results show that with the TAS implementation, contention effects can be overcome and frame delay variation (frame jitter) can be removed. Timing instability in the significant events of the scheduler is considered and a solution to overcome this issue is proposed.

Item Type: Book section
DOI/Identification number: 10.1109/GLOCOM.2017.8254714
Uncontrolled keywords: Fronthaul, Time-Aware Shaper, Precision-Time Protocol, Cloud-Radio Access Network, Ethernet
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK5101 Telecommunications
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Philippos Assimakopoulos
Date Deposited: 02 Oct 2018 18:41 UTC
Last Modified: 16 Feb 2021 13:52 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65872 (The current URI for this page, for reference purposes)
Assimakopoulos, Philippos: https://orcid.org/0000-0002-2550-1317
Gomes, Nathan J.: https://orcid.org/0000-0003-3763-3699
  • Depositors only (login required):