256 citations · 493 across the 15 of their papers we have counts for
6 papers · 1 filter
Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym
Leonardo Bonati, Michele Polese, Salvatore D'Oro +2
Softwarization, programmable network control and the use of all-encompassing controllers acting at different timescales are heralded as the key drivers for the evolution to next-ge…
CaST: A Toolchain for Creating and Characterizing Realistic Wireless Network Emulation Scenarios
Davide Villa, Miead Tehrani-Moayyed, Pedram Johari +2
Large-scale wireless testbeds are being increasingly used in developing and evaluating new solutions for next generation wireless networks. Among others, high-fidelity FPGA-based e…
OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms
Leonardo Bonati, Michele Polese, Salvatore D'Oro +2
Open Radio Access Network (RAN) architectures will enable interoperability, openness and programmable data-driven control in next generation cellular networks. However, developing…
OpenRAN Gym: An Open Toolbox for Data Collection and Experimentation with AI in O-RAN
Leonardo Bonati, Michele Polese, Salvatore D'Oro +2
Open Radio Access Network (RAN) architectures will enable interoperability, openness, and programmatic data-driven control in next generation cellular networks. However, developing…
Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges
Michele Polese, Leonardo Bonati, Salvatore D'Oro +2
The Open Radio Access Network (RAN) and its embodiment through the O-RAN Alliance specifications are poised to revolutionize the telecom ecosystem. O-RAN promotes virtualized RANs…
ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Michele Polese, Leonardo Bonati, Salvatore D'Oro +2
In spite of the new opportunities brought about by the Open RAN, advances in ML-based network automation have been slow, mainly because of the unavailability of large-scale dataset…