Evaluating the Cloud-RAN architecture: functional splitting and switched Ethernet Xhaul

Ocampo, Andres F, Mah Rukh, Fida ORCID: 0000-0001-7660-1150, Elmokashfi, Ahmed and Bryhni, Haakon (2020) Evaluating the Cloud-RAN architecture: functional splitting and switched Ethernet Xhaul. In: 2020 16th International Conference on Network and Service Management (CNSM). IEEE, pp. 1-5. ISBN 9783903176317

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Text 13910 Ocampo Andres F et al (2020) Evaluating the Cloud-RAN architecture functional splitting - Accepted version.pdf - Accepted Version Available under License All Rights Reserved. Download (2MB) | Preview

Abstract

The Cloud-RAN architecture is a key enabler to building future mobile networks in a flexible and cost-efficient way. For instance, switched Ethernet is a prime candidate for mobile transport networks (Xhaul), due to its flexibility, ubiquity, and cost-effectiveness. Understanding its performance under different network configurations would allow concluding about its appeal for Cloud-RAN. On the other hand, evaluating resource sharing mechanisms is relevant to put in place best solutions to host multiple virtual Base Band Units (vBBUs) into the same compute infrastructure. This paper assesses the feasibility of using a switched Ethernet Xhaul, by instantiating two BBUsusing different functional splits. Moreover, this paper evaluates two mec general purpose server (GPS) hosting vBBUs. Our results point to a marginal performance degradation caused by the switched Ethernet Xhaul and the NIC sharing mechanisms. Such deviations could be seen from the increase in average and maximum Jitter and RTT results.

Item Type:	Book Section
Article Type:	Article
Additional Information:	Full published version is available to current University of Gloucestershire students and staff via the IEEE database, see publisher link below.
Uncontrolled Keywords:	Cloud radio access network (Cloud-RAN); Fronthaul; Ethernet Xhaul; functional splits; 5G; LTE
Related URLs:	Publisher
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Mah Rukh
Date Deposited:	17 Apr 2024 10:50
Last Modified:	26 Apr 2024 13:54
URI:	https://eprints.glos.ac.uk/id/eprint/13910

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