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  • Rank 750,836 (Top 15 %)
  • Language
    C
  • License
    Apache License 2.0
  • Created almost 3 years ago
  • Updated 6 months ago

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Repository Details

Source code for the paper M. Polese, L. Bonati, S. D'Oro, S. Basagni, T. Melodia, "ColoRAN: Design and Testing of Open RAN Intelligence on Large-scale Experimental Platforms," arXiv 2112.09559 [cs.NI], December 2021.

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1

colosseum-oran-commag-dataset

Dataset for the paper L. Bonati, S. D'Oro, M. Polese, S. Basagni, T. Melodia, "Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks," IEEE Communications Magazine, vol. 59, no. 10, pp. 21–27, October 2021.
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2

colosseum-scope

Source code for the paper L. Bonati, S. D'Oro, S. Basagni, and T. Melodia, "SCOPE: An Open and Softwarized Prototyping Platform for NextG Systems," in Proceedings of ACM MobiSys, June 2021.
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uav-to-uav-60-ghz-channel-model

Dataset and code for M. Polese, L. Bertizzolo, L. Bonati, A. Gosain, T. Melodia, An Experimental mmWave Channel Model for UAV-to-UAV Communications, in Proc. of ACM Workshop on Millimeter-Wave Networks and Sensing Systems (mmNets), London, UK, Sept. 2020.
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deepbeam

M. Polese, F. Restuccia, and T. Melodia, "DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks", Proc. of ACM Intl. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 2021.
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colosseum-oran-coloran-dataset

Dataset for the paper M. Polese, L. Bonati, S. D'Oro, S. Basagni, T. Melodia, "ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms," IEEE Transactions on Mobile Computing, pp. 1-14, July 2022.
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deepsense-spectrum-sensing-datasets

Dataset for the paper D. Uvaydov, S. D’Oro, F. Restuccia and T. Melodia, "DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning," IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021, pp. 1-10, doi: 10.1109/INFOCOM42981.2021.9488764.
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ns-o-ran-ns3-mmwave

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colosseum-scope-e2

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OAI-colosseum-ric-integration

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iab-manager

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openrangym-pawr

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o-ran-e2sim

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explora

Code for the paper EXPLORA: AI/ML EXPLainability for the Open RAN Claudio Fiandrino, Leonardo Bonati, Salvatore d'Oro, Michele Polese, Tommaso Melodia, Joerg Widmer CoNEXT ’23, December 5–8, 2023, Paris, France DOI: 10.1145/3629141
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OAI-Slicing-Intel

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16

OAI-Colosseum

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17

cast

Code for the paper D. Villa, M. Tehrani-Moayyed, P. Johari, S. Basagni, T. Melodia, "CaST: A Toolchain for Creating and Characterizing Realistic Wireless Network Emulation Scenarios," Proceedings of the 16th ACM Workshop on Wireless Network Testbeds, Experimental Evaluation & CHaracterization (WiNTECH), October 2022.
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18

oai-o-ran-e2-sim

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ns-o-ran-grafana

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xDevSM

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21

xDevSM-xapps-examples

This repository gathers xApps that utilize xDevSM framework.
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22

sonair-dataset

Dataset for the paper D. Uvaydov, D. Unal, K. Enhos, E. Demirors and T. Melodia, "SonAIr: Real-Time Deep Learning For Underwater Acoustic Spectrum Sensing and Classification," in Proc. of IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Pafos, Cyprus, June 2023.
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e2

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restart_assignment_repo

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27

open-ran-commercial-traffic-twinning-dataset

Dataset for the paper L. Bonati, R. Shirkhani, C. Fiandrino, S. Maxenti, S. D'Oro, M. Polese, T. Melodia, "Twinning Commercial Network Traces on Experimental Open RAN Platforms," in Proceedings of ACM WiNTECH, Washington, DC, USA, November 2024.
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wnos

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