LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps
Filippo Olimpieri, Noemi Giustini, Andrea Lacava, Salvatore D'Oro, Tommaso Melodia, Francesca Cuomo

TL;DR
This paper introduces LibIQ, a library enabling real-time spectrum classification in O-RAN networks by processing I/Q samples with CNNs, achieving high accuracy and supporting spectrum monitoring and control.
Contribution
LibIQ provides an efficient, real-time RF spectrum classification tool integrated with O-RAN, including a new dataset and CNN-based classification for spectrum management.
Findings
Achieved 97.8% accuracy in signal classification across scenarios
Developed an extensive I/Q dataset for RF signals
Demonstrated real-time spectrum analysis in 5G environments
Abstract
The O-RAN architecture is transforming cellular networks by adopting RAN softwarization and disaggregation concepts to enable data-driven monitoring and control of the network. Such management is enabled by RICs, which facilitate near-real-time and non-real-time network control through xApps and rApps. However, they face limitations, including latency overhead in data exchange between the RAN and RIC, restricting real-time monitoring, and the inability to access user plain data due to privacy and security constraints, hindering use cases like beamforming and spectrum classification. In this paper, we leverage the dApps concept to enable real-time RF spectrum classification with LibIQ, a novel library for RF signals that facilitates efficient spectrum monitoring and signal classification by providing functionalities to read I/Q samples as time-series, create datasets and visualize…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced MIMO Systems Optimization · Software-Defined Networks and 5G · IoT Networks and Protocols
MethodsLib
