Search Results for author: Michele Polese

Found 22 papers, 15 papers with code

Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems

no code implementations27 Jul 2023 Paolo Testolina, Michele Polese, Josep M. Jornet, Tommaso Melodia, Michele Zorzi

In this paper, we provide the first, fundamental analysis of Radio Frequency Interference (RFI) that large-scale terrestrial deployments introduce in different satellite sensing systems now orbiting the Earth.

Astronomy

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

2 code implementations28 Sep 2022 Andrea Lacava, Michele Polese, Rajarajan Sivaraj, Rahul Soundrarajan, Bhawani Shanker Bhati, Tarunjeet Singh, Tommaso Zugno, Francesca Cuomo, Tommaso Melodia

This is obtained through custom RAN control applications (i. e., xApps) deployed on near-real-time RAN Intelligent Controller (near-RT RIC) at the edge of the network.

Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym

no code implementations31 Aug 2022 Leonardo Bonati, Michele Polese, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia

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-generation cellular networks.

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

no code implementations29 Aug 2022 Priyangshu Sen, Jacob Hall, Michele Polese, Vitaly Petrov, Duschia Bodet, Francesco Restuccia, Tommaso Melodia, Josep M. Jornet

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

OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms

1 code implementation25 Jul 2022 Leonardo Bonati, Michele Polese, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia

In this paper we present OpenRAN Gym, a unified, open, and O-RAN-compliant experimental toolbox for data collection, design, prototyping and testing of end-to-end data-driven control solutions for next generation Open RAN systems.

OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN

no code implementations14 Jan 2022 Salvatore D'Oro, Leonardo Bonati, Michele Polese, Tommaso Melodia

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

Scheduling

ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms

1 code implementation17 Dec 2021 Michele Polese, Leonardo Bonati, Salvatore D'Oro, Stefano Basagni, Tommaso Melodia

In this paper, we address these challenges by proposing practical solutions and software pipelines for the design, training, testing, and experimental evaluation of DRL-based closed-loop control in the Open RAN.

Scheduling

DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks

1 code implementation28 Dec 2020 Michele Polese, Francesco Restuccia, Tommaso Melodia

To do so, existing solutions mostly rely on explicit coordination between the transmitter (TX) and the receiver (RX), which significantly reduces the airtime available for communication and further complicates the network protocol design.

Networking and Internet Architecture Information Theory Information Theory

Intelligence and Learning in O-RAN for Data-driven NextG Cellular Networks

1 code implementation2 Dec 2020 Leonardo Bonati, Salvatore D'Oro, Michele Polese, Stefano Basagni, Tommaso Melodia

Next Generation (NextG) cellular networks will be natively cloud-based and built upon programmable, virtualized, and disaggregated architectures.

Scheduling

Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective

2 code implementations14 Jul 2020 Mattia Lecci, Paolo Testolina, Michele Polese, Marco Giordani, Michele Zorzi

The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems.

Quasi-Deterministic Channel Model for mmWaves: Mathematical Formalization and Validation

1 code implementation1 Jun 2020 Mattia Lecci, Michele Polese, Chiehping Lai, Jian Wang, Camillo Gentile, Nada Golmie, Michele Zorzi

5G and beyond networks will use, for the first time ever, the millimeter wave (mmWave) spectrum for mobile communications.

Toward End-to-End, Full-Stack 6G Terahertz Networks

1 code implementation16 May 2020 Michele Polese, Josep Jornet, Tommaso Melodia, Michele Zorzi

Recent evolutions in semiconductors have brought the terahertz band in the spotlight as an enabler for terabit-per-second communications in 6G networks.

Networking and Internet Architecture Signal Processing

Millimeter Wave Remove UAV Control and Communications for Public Safety Scenarios

no code implementations13 May 2020 William Xia, Michele Polese, Marco Mezzavilla, Giuseppe Loianno, Sundeep Rangan, Michele Zorzi

Communication and video capture from unmanned aerial vehicles (UAVs) offer significant potential for assisting first responders in remote public safety settings.

MilliCar -- An ns-3 Module for mmWave NR V2X Networks

1 code implementation24 Feb 2020 Matteo Drago, Tommaso Zugno, Michele Polese, Marco Giordani, Michele Zorzi

Vehicle-to-vehicle (V2V) communications have opened the way towards cooperative automated driving as a means to guarantee improved road safety and traffic efficiency.

Networking and Internet Architecture

Implementation of A Spatial Channel Model for ns-3

5 code implementations21 Feb 2020 Tommaso Zugno, Michele Polese, Natale Patriciello, Biljana Bojović, Sandra Lagen, Michele Zorzi

The next generation of wireless networks will feature a more flexible radio access design, integrating multiple new technological solutions (e. g., massive Multiple-Input Multiple-Output (MIMO), millimeter waves) to satisfy different verticals and use cases.

Networking and Internet Architecture Signal Processing

Implementation of Reference Public Safety Scenarios in ns-3

1 code implementation17 Feb 2019 Michele Polese, Tommaso Zugno, Michele Zorzi

Moreover, we present the implementation of two novel mobility models for ns-3, which can be used to enable the simulation of realistic PSC scenarios in ns-3.

Networking and Internet Architecture

Machine Learning at the Edge: A Data-Driven Architecture with Applications to 5G Cellular Networks

no code implementations23 Aug 2018 Michele Polese, Rittwik Jana, Velin Kounev, Ke Zhang, Supratim Deb, Michele Zorzi

Then, we will describe how the controllers can be used to run ML algorithms to predict the number of users in each base station, and a use case in which these predictions are exploited by a higher-layer application to route vehicular traffic according to network Key Performance Indicators (KPIs).

BIG-bench Machine Learning

Multi-Sector and Multi-Panel Performance in 5G mmWave Cellular Networks

6 code implementations14 Aug 2018 Mattia Rebato, Michele Polese, Michele Zorzi

The next generation of cellular networks (5G) will exploit the mmWave spectrum to increase the available capacity.

Networking and Internet Architecture Information Theory Information Theory

Integration of Carrier Aggregation and Dual Connectivity for the ns-3 mmWave Module

6 code implementations19 Feb 2018 Tommaso Zugno, Michele Polese, Michele Zorzi

Thanks to the wide availability of bandwidth, the millimeter wave (mmWave) frequencies will provide very high data rates to mobile users in next generation 5G cellular networks.

Networking and Internet Architecture

End-to-End Simulation of 5G mmWave Networks

4 code implementations8 May 2017 Marco Mezzavilla, Menglei Zhang, Michele Polese, Russell Ford, Sourjya Dutta, Sundeep Rangan, Michele Zorzi

Due to its potential for multi-gigabit and low latency wireless links, millimeter wave (mmWave) technology is expected to play a central role in 5th generation cellular systems.

Networking and Internet Architecture

Performance Comparison of Dual Connectivity and Hard Handover for LTE-5G Tight Integration

9 code implementations19 Jul 2016 Michele Polese, Marco Mezzavilla, Michele Zorzi

However, when propagation conditions are hard and it is difficult to provide high quality coverage with mmWave BS, it is necessary to rely on previous generation LTE base stations, which make use of lower frequencies (900 MHz - 3. 5 GHz), which are less sensitive to blockage and experience lower pathloss.

Networking and Internet Architecture

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