activity
20132024
most citedMachine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

301 citations · 1.9k across the 75 of their papers we have counts for

collaborators
Showing 2022Show all

14 papers · 1 filter

cs.NI2022★ 6 cited

Programmable and Customized Intelligence for Traffic Steering in 5G Networks Using Open RAN Architectures

Andrea Lacava, Michele Polese, Rajarajan Sivaraj +6

5G and beyond mobile networks will support heterogeneous use cases at an unprecedented scale, thus demanding automated control and optimization of network functionalities customize…

cs.NI2022★ 5 cited

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…

eess.SP2022★ 28 cited

Terahertz Communications Can Work in Rain and Snow: Impact of Adverse Weather Conditions on Channels at 140 GHz

Priyangshu Sen, Jacob Hall, Michele Polese +5

Next-generation wireless networks will leverage the spectrum above 100 GHz to enable ultra-high data rate communications over multi-GHz-wide bandwidths. The propagation environment…

cs.NI2022★ 10 cited

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…

cs.NI2022★ 73 cited

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…

cs.NI2022

Autonomous Driving From the Sky: Design and End-to-End Performance Evaluation

Matteo Bordin, Marco Giordani, Michele Polese +2

For autonomous vehicles to operate without human intervention, information sharing from local sensors plays a fundamental role. This can be challenging to handle with bandwidth-con…

eess.SP2022★ 1 cited

Neural Network-based OFDM Receiver for Resource Constrained IoT Devices

Nasim Soltani, Hai Cheng, Mauro Belgiovine +10

Orthogonal Frequency Division Multiplexing (OFDM)-based waveforms are used for communication links in many current and emerging Internet of Things (IoT) applications, including the…

cs.LG2022★ 1 cited

Deep neural network goes lighter: A case study of deep compression techniques on automatic RF modulation recognition for Beyond 5G networks

Anu Jagannath, Jithin Jagannath, Yanzhi Wang +1

Automatic RF modulation recognition is a primary signal intelligence (SIGINT) technique that serves as a physical layer authentication enabler and automated signal processing schem…

cs.NI2022★ 98 cited

dApps: Distributed Applications for Real-time Inference and Control in O-RAN

Salvatore D'Oro, Michele Polese, Leonardo Bonati +2

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…

cs.NI2022★ 2 cited

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…

cs.NI2022★ 22 cited

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…

cs.NI2022★ 4 cited

ChARM: NextG Spectrum Sharing Through Data-Driven Real-Time O-RAN Dynamic Control

Luca Baldesi, Francesco Restuccia, Tommaso Melodia

Today's radio access networks (RANs) are monolithic entities which often operate statically on a given set of parameters for the entirety of their operations. To implement realisti…

cs.NI2022★ 4 cited

OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN

Salvatore D'Oro, Leonardo Bonati, Michele Polese +1

The next generation of cellular networks will be characterized by softwarized, open, and disaggregated architectures exposing analytics and control knobs to enable network intellig…

cs.NI2022★ 2 cited

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…