Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation
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Abstract (arXiv)
Colosseum is an open-access and publicly-available large-scale wireless testbed for experimental research via virtualized and softwarized waveforms and protocol stacks on a fully programmable, "white-box" platform. Through 256 state-of-the-art software-defined radios and a massive channel emulator core, Colosseum can model virtually any scenario, enabling the design, development and testing of solutions at scale in a variety of deployments and channel conditions. These Colosseum radio-frequency scenarios are reproduced through high-fidelity FPGA-based emulation with finite-impulse response filters. Filters model the taps of desired wireless channels and apply them to the signals generated by the radio nodes, faithfully mimicking the conditions of real-world wireless environments. In this paper, we introduce Colosseum as a testbed that is for the first time open to the research community. We describe the architecture of Colosseum and its experimentation and emulation capabilities. We then demonstrate the effectiveness of Colosseum for experimental research at scale through exemplary use cases including prevailing wireless technologies (e.g., cellular and Wi-Fi) in spectrum sharing and unmanned aerial vehicle scenarios. A roadmap for Colosseum future updates concludes the paper.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 11 of its 44 references that are in the map. First posted on arXiv 20 Oct 2021.
Builds on
11 of 44 references.
References · 11
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Built on by
Citing papers per year: 2021: 1; 2022: 3; 2023: 0; 2024: 3; 2025: 3; 2026: 1.
11 papers.
- 2021ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platformscited by 35
- 2022OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RANcited by 10
- 2022OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platformscited by 5
- 2024Survey of Graph Neural Network for Internet of Things and NextG Networkscited by 4
- 2024CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twinscited by 3
- 2022Intelligent Closed-loop RAN Control with xApps in OpenRAN Gymcited by 2
- 2024Priority-Aware Model-Distributed Inference at Edge Networkscited by 2
- 2025Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attackscited by 2
- 2026GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testingcited by 2
- 2025From Description to Detection: LLM based Extendable O-RAN Compliant Blind DoS Detection in 5G and Beyondcited by 1
- 2025Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RANcited by 0
- 2026GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing26 May 2026
- 2025From Description to Detection: LLM based Extendable O-RAN Compliant Blind DoS Detection in 5G and Beyond8 Oct 2025
- 2025Robust Anomaly Detection in O-RAN: Leveraging LLMs against Data Manipulation Attacks11 Aug 2025
- 2025Percentile-Based Deep Reinforcement Learning and Reward Based Personalization For Delay Aware RAN Slicing in O-RAN24 Jul 2025
- 2024Priority-Aware Model-Distributed Inference at Edge Networks16 Dec 2024
- 2024Survey of Graph Neural Network for Internet of Things and NextG Networks27 May 2024
- 2024CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins6 Jan 2024
- 2022Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym31 Aug 2022
- 2022OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms25 Jul 2022
- 2022OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN14 Jan 2022
- 2021ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms17 Dec 2021