most citedTwinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator

8 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2024

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching

Daniel Uvaydov, Milin Zhang, Clifton Paul Robinson +3

Spectrum has become an extremely scarce and congested resource. As a consequence, spectrum sensing enables the coexistence of different wireless technologies in shared spectrum ban…

cs.NI2024

DeepSweep: Parallel and Scalable Spectrum Sensing via Convolutional Neural Networks

Clifton Paul Robinson, Daniel Uvaydov, Salvatore D'Oro +1

Spectrum sensing is an essential component of modern wireless networks as it offers a tool to characterize spectrum usage and better utilize it. Deep Learning (DL) has become one o…

cs.NI20231 cited

Demo: Intelligent Radar Detection in CBRS Band in the Colosseum Wireless Network Emulator

Davide Villa, Daniel Uvaydov, Leonardo Bonati +3

The ever-growing number of wireless communication devices and technologies demands spectrum-sharing techniques. Effective coexistence management is crucial to avoid harmful interfe…

cs.NI20238 cited

Twinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator

Davide Villa, Daniel Uvaydov, Leonardo Bonati +3

Because of the ever-growing amount of wireless consumers, spectrum-sharing techniques have been increasingly common in the wireless ecosystem, with the main goal of avoiding harmfu…

cs.NI20232 cited

Narrowband Interference Detection via Deep Learning

Clifton Paul Robinson, Daniel Uvaydov, Salvatore D'Oro +1

Due to the increased usage of spectrum caused by the exponential growth of wireless devices, detecting and avoiding interference has become an increasingly relevant problem to ensu…