Colosseum: The Open RAN Digital Twin
Michele Polese, Leonardo Bonati, Salvatore D'Oro, Pedram Johari,, Davide Villa, Sakthivel Velumani, Rajeev Gangula, Maria Tsampazi, Clifton, Paul Robinson, Gabriele Gemmi, Andrea Lacava, Stefano Maxenti, Hai Cheng,, Tommaso Melodia

TL;DR
This paper presents Colosseum, a large-scale wireless network emulator that creates a high-fidelity digital twin of Open RAN systems, enabling testing, development, and validation of AI/ML solutions in a realistic environment.
Contribution
It introduces Colosseum's infrastructure for implementing an Open RAN digital twin with RF and protocol stack emulation, bridging the gap between research and real-world deployment.
Findings
Colosseum enables real-time connection between digital twin and real networks.
It supports development and testing of AI/ML solutions for Open RAN.
The platform facilitates automated validation and experimentation in a controlled environment.
Abstract
Recent years have witnessed the Open Radio Access Network (RAN) paradigm transforming the fundamental ways cellular systems are deployed, managed, and optimized. This shift is led by concepts such as openness, softwarization, programmability, interoperability, and intelligence of the network, all of which had never been applied to the cellular ecosystem before. The realization of the Open RAN vision into practical architectures, intelligent data-driven control loops, and efficient software implementations, however, is a multifaceted challenge, which requires (i) datasets to train Artificial Intelligence (AI) and Machine Learning (ML) models; (ii) facilities to test models without disrupting production networks; (iii) continuous and automated validation of the RAN software; and (iv) significant testing and integration efforts. This paper poses itself as a tutorial on how Colosseum - the…
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Taxonomy
TopicsDigital Transformation in Industry · Augmented Reality Applications · IoT and Edge/Fog Computing
