Maximizing Network Throughput Using SD-RAN

Fidan Mehmeti, Arled Papa, Wolfgang Kellerer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Software-Defined Radio Access Networks (SD-RANs), introduced in 5G, represent a paradigm shift in the process of cellular network resource allocation. The decoupling of the control from the data plane, and associating the former with a controller away from Base Stations (BSs), has enabled an increased flexibility in allocating network resources which would lead to performance improvements. However, so far, it is not yet clear to what extent this amelioration ranges in terms of the maximum throughput that can be achieved. Therefore, in this paper, we consider analytically the problem of maximizing the overall network throughput in an SD-RAN environment, by deriving the policy which accomplishes that along with the total throughput, of interest to cellular operators. We assess the performance with real user traces. Results show that the introduction of SD-RAN improves performance by at least 20%.

Original languageEnglish
Title of host publication2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages561-566
Number of pages6
ISBN (Electronic)9781665497343
DOIs
StatePublished - 2023
Event20th IEEE Consumer Communications and Networking Conference, CCNC 2023 - Las Vegas, United States
Duration: 8 Jan 202311 Jan 2023

Publication series

NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
Volume2023-January
ISSN (Print)2331-9860

Conference

Conference20th IEEE Consumer Communications and Networking Conference, CCNC 2023
Country/TerritoryUnited States
CityLas Vegas
Period8/01/2311/01/23

Keywords

  • 5G
  • Performance optimization
  • SD-RAN

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