5G-CT: Automated Deployment and Over-the-Air Testing of End-to-End Open Radio Access Networks

Fuente: arXiv
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Main Authors: Bonati, Leonardo, Polese, Michele, D'Oro, Salvatore, del Prever, Pietro Brach, Melodia, Tommaso
Format: Preprint
Published: 2023
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author Bonati, Leonardo
Polese, Michele
D'Oro, Salvatore
del Prever, Pietro Brach
Melodia, Tommaso
author_facet Bonati, Leonardo
Polese, Michele
D'Oro, Salvatore
del Prever, Pietro Brach
Melodia, Tommaso
contents Deploying and testing cellular networks is a complex task due to the multitude of components involved -- from the core to the Radio Access Network (RAN) and User Equipment (UE) -- all of which requires integration and constant monitoring. Additional challenges are posed by the nature of the wireless channel, whose inherent randomness hinders the repeatability and consistency of the testing process. Consequently, existing solutions for both private and public cellular systems still rely heavily on human intervention for operations such as network reconfiguration, performance monitoring, and end-to-end testing. This reliance significantly slows the pace of innovation in cellular systems. To address these challenges, we introduce 5G-CT, an automation framework based on OpenShift and the GitOps workflow, capable of deploying a softwarized end-to-end 5G and O-RAN-compliant system in a matter of seconds without the need for any human intervention. We have deployed 5G-CT to test the integration and performance of open-source cellular stacks, including OpenAirInterface, and have collected months of automated over-the-air testing results involving software-defined radios. 5G-CT brings cloud-native continuous integration and delivery to the RAN, effectively addressing the complexities associated with managing spectrum, radios, heterogeneous devices, and distributed components. Moreover, it endows cellular networks with much needed automation and continuous testing capabilities, providing a platform to evaluate the robustness and resiliency of Open RAN software.
format Preprint
id arxiv_https___arxiv_org_abs_2311_03206
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle 5G-CT: Automated Deployment and Over-the-Air Testing of End-to-End Open Radio Access Networks
Bonati, Leonardo
Polese, Michele
D'Oro, Salvatore
del Prever, Pietro Brach
Melodia, Tommaso
Networking and Internet Architecture
Deploying and testing cellular networks is a complex task due to the multitude of components involved -- from the core to the Radio Access Network (RAN) and User Equipment (UE) -- all of which requires integration and constant monitoring. Additional challenges are posed by the nature of the wireless channel, whose inherent randomness hinders the repeatability and consistency of the testing process. Consequently, existing solutions for both private and public cellular systems still rely heavily on human intervention for operations such as network reconfiguration, performance monitoring, and end-to-end testing. This reliance significantly slows the pace of innovation in cellular systems. To address these challenges, we introduce 5G-CT, an automation framework based on OpenShift and the GitOps workflow, capable of deploying a softwarized end-to-end 5G and O-RAN-compliant system in a matter of seconds without the need for any human intervention. We have deployed 5G-CT to test the integration and performance of open-source cellular stacks, including OpenAirInterface, and have collected months of automated over-the-air testing results involving software-defined radios. 5G-CT brings cloud-native continuous integration and delivery to the RAN, effectively addressing the complexities associated with managing spectrum, radios, heterogeneous devices, and distributed components. Moreover, it endows cellular networks with much needed automation and continuous testing capabilities, providing a platform to evaluate the robustness and resiliency of Open RAN software.
title 5G-CT: Automated Deployment and Over-the-Air Testing of End-to-End Open Radio Access Networks
topic Networking and Internet Architecture
url https://arxiv.org/abs/2311.03206