Testing Open RAN in the Cloud (TORC)

This paper proposes a novel cloud-based approach for automated testing of Open Radio Access Network (O-RAN) systems, departing from traditional resource-intensive box-based testing methodologies to scalable pay-as-you-use remote testing. The proposed method encompasses hosting the O-RAN test system in the cloud, triggering an automation suite from an automation framework to execute a predefined set of test cases on the cloud-hosted system, and storing the test results along with key performance indicators (KPIs) in the cloud. A comprehensive automation framework has been developed, capable of executing thousands of test cases in the cloud environment. The framework comprises a front-end module hosted on a public cloud and a backend module hosted on either a private or public cloud, enabling seamless integration and efficient testing of O-RAN systems.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/vtc2024-fall63153.2024.10757934
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
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article

Testing Open RAN in the Cloud (TORC)

John Baker, Sridhar Rajagopal, Ramu Akula
Network Security and Intrusion Detection
article

Testing Open RAN in the Cloud (TORC)

John Baker, Sridhar Rajagopal, Ramu Akula
article en

Abstract

This paper proposes a novel cloud-based approach for automated testing of Open Radio Access Network (O-RAN) systems, departing from traditional resource-intensive box-based testing methodologies to scalable pay-as-you-use remote testing. The proposed method encompasses hosting the O-RAN test system in the cloud, triggering an automation suite from an automation framework to execute a predefined set of test cases on the cloud-hosted system, and storing the test results along with key performance indicators (KPIs) in the cloud. A comprehensive automation framework has been developed, capable of executing thousands of test cases in the cloud environment. The framework comprises a front-end module hosted on a public cloud and a backend module hosted on either a private or public cloud, enabling seamless integration and efficient testing of O-RAN systems.

Amazon (United States) (US), Teledyne FLIR (United States) (US)
Openalex Percentile: Top 70%
Network Security and Intrusion Detection
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