Pith. sign in

REVIEW 1 cited by

Open6G OTIC: A Blueprint for Programmable O-RAN and 3GPP Testing Infrastructure

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2409.02237 v1 pith:GUWFBFSK submitted 2024-09-03 cs.NI cs.SYeess.SY

classification cs.NIcs.SYeess.SY
keywords testingopenoticcomponentso-ranprogrammableblueprintdesign
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Softwarized and programmable Radio Access Networks (RANs) come with virtualized and disaggregated components, increasing the supply chain robustness and the flexibility and dynamism of the network deployments. This is a key tenet of Open RAN, with open interfaces across disaggregated components specified by the O-RAN ALLIANCE. It is mandatory, however, to validate that all components are compliant with the specifications and can successfully interoperate, without performance gaps with traditional, monolithic appliances. Open Testing & Integration Centers (OTICs) are entities that can verify such interoperability and adherence to the standard through rigorous testing. However, how to design, instrument, and deploy an OTIC which can offer testing for multiple tenants, heterogeneous devices, and is ready to support automated testing is still an open challenge. In this paper, we introduce a blueprint for a programmable OTIC testing infrastructure, based on the design and deployment of the Open6G OTIC at Northeastern University, Boston, and provide insights on technical challenges and solutions for O-RAN testing at scale.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components

    cs.NI 2025-06 conditional novelty 6.0 of 10

    An LLM-based framework that generates expected O-RAN and 3GPP procedural flows from standards and validates captured signaling logs against them, reporting 100% accuracy on 15 testbed instances and under an hour per t...

Pith tools