Abstract--Spectrum sharing allows different protocols of the same standard (e.g., 802.11 family) or different standards (e.g., LTE and DVB) to coexist in overlapping frequency bands. Third, it utilizes an extensive 66 GB dataset of over-the-air (OTA) WiFi transmissions for training, which is released along with the code for community use. Legacy protocol detection methods are integrated into the RF receiver network interface card, enabling fast preamble I. However, updating the system for new protocols leads to backward compatibility issues and The increasing demand for wireless services has caused a potential detection errors in challenging wireless channels. This results in congested the other hand, software-defined radio (SDR) systems offer wireless spectrum environments as various communication flexibility but introduce higher latencies due to data transfer protocols coexist in the same frequency bands [2]. This paper transmissions further raise security concerns, posing demonstrates that using edge devices with CPU and GPU risks to critical operations [3]. Detecting diverse protocols in on a system-on-a-module (SOM), along with careful software crowded spectrums allows for intelligent strategies to mitigate design, can overcome the these limitations and enable realtime interference, improve spectral efficiency, and enhance overall processing for complex ML wireless applications on an wireless system performance, benefiting regulatory bodies, SDR-based edge device.

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 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.