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The Open Radio Access Network (Open RAN)-which is being standardized, among others, by the O-RAN Alliance-is bringing a radical transformation to the cellular ecosystem through the notions of disaggregation and RAN Intelligent Controllers (RICs).
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L. Bonati, S. D’Oro, M. Polese, S. Basagni, and T. Melodia, “Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks,”
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S. Bakri, P. A. Frangoudis, A. Ksentini, and M. Bouaziz, “Data-Driven RAN Slicing Mechanisms for 5G and Beyond,”
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M. Polese, F. Restuccia, and T. Melodia, “DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks,” in
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L. Bonati, P. Johari, M. Polese, S. D’Oro, S. Mohanti, M. Tehrani-Moayyed, D. Villa, S. Shrivastava, C. Tassie, K. Yoder, A. Bagga, P. Patel, V. Petkov, M. Seltser, F. Restuccia, A. Gosain, K. R. Chowdhury, S. Basagni, and T. Melodia, “Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation,” in
2021
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T. Jian, Y. Gong, Z. Zhan, R. Shi, N. Soltani, Z. Wang, J. G. Dy, K. R. Chowdhury, Y. Wang, and S. Ioannidis, “Radio Frequency Fingerprinting on the Edge,”
2021
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H. Zhang, H. Zhou, and M. Erol-Kantarci, “Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN),” in
2022
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Y. Shi, P. Rahimzadeh, M. Costa, T. Erpek, and Y. E. Sagduyu, “Deep Reinforcement Learning for 5G Radio Access Network Slicing with Spectrum Coexistence,” accessed July 2022. [Online]. Available:
2022
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2022
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J. A. Ayala-Romero, A. Garcia-Saavedra, M. Gramaglia, X. Costa-Perez, A. Banchs, and J. J. Alcaraz, “vrAIn: Deep Learning based Orchestration for Computing and Radio Resources in vRANs,”
2022
Closest in time.
S. D’Oro, L. Bonati, M. Polese, and T. Melodia, “OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN,” in
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2022
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2022
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