Marc: On modeling and analysis of software-defined radio access network controllers

Arled Papa, Raphael Durner, Endri Goshi, Leonardo Goratti, Tinku Rasheed, Andreas Blenk, Wolfgang Kellerer

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Network programmability also sneaked into the mobile world leading to the emergence of Software-Defined Radio Access Network (SD-RAN) architectures. Interestingly, while only a small number of prototype architectures exist for SD-RAN, their performance evaluations are unfortunately also limited. Recent evaluations are carried out for small network dimensions of up to 50 devices, while emerging 5G/6G networks envision numbers of devices beyond 5000. Although 5G/6G applications are more stringent with respect to latency guarantees, performance evaluations of such low scale remain questionable. To fill this void, this paper presents MARC: A novel benchmarking tool for SD-RAN architectures and their controllers. We use MARC to measure, analyze and identify performance implications for two state-of-The-Art open source SD-RAN solutions: FlexRAN and 5G-EmPOWER. We perceive results for monitoring application scenarios considering fully centralized control. For this setting, our findings show that the proposed architectures with a single SD-RAN controller are not scalable and can even lead to unpredictable network operations. Using our tool and based on our insights, we provide and implement design guidelines for the internal working behavior of the existing controllers.

Original languageEnglish
Pages (from-to)4602-4615
Number of pages14
JournalIEEE Transactions on Network and Service Management
Volume18
Issue number4
DOIs
StatePublished - 1 Dec 2021

Keywords

  • Benchmarking
  • Network measurements
  • Performance management
  • Sd-ran
  • Sd-ran controllers

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