28 citations · 86 across the 21 of their papers we have counts for
22 papers
Coordinated Spectrum Coexistence Across Heterogeneous Commercial and Federal Services
Minh Dat Nguyen, Paolo Testolina, Pedram Johari +2
Future wireless networks are expected to support the coexistence of cellular communications, radio frequency (RF) sensing, radionavigation, and radiolocation radar-among others-ove…
GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing
Tamerlan Aghayev, Maxime Elkael, Michele Polese +11
Cellular research and development (R&D) is throttled by six structural processes that each consume months of manual engineering work per iteration: (i) synthesizing new features fr…
AIRMap: AI-Generated Radio Maps for Wireless Digital Twins
Ali Saeizadeh, Miead Tehrani-Moayyed, Davide Villa +4
Accurate, low-latency channel modeling is essential for real-time wireless network simulation and digital-twin applications. Traditional modeling methods like ray tracing are howev…
Enabling Site-Specific Cellular Network Simulation Through Ray-Tracing-Driven ns-3
Tanguy Ropitault, Matteo Bordin, Paolo Testolina +4
Evaluating cellular systems, from 5G New Radio (NR) and 5G-Advanced to 6G, is challenging because the performance emerges from the tight coupling of propagation, beam management, s…
dApps: Enabling Real-Time AI-Based Open RAN Control
Andrea Lacava, Leonardo Bonati, Niloofar Mohamadi +7
Open Radio Access Networks (RANs) leverage disaggregated and programmable RAN functions and open interfaces to enable closed-loop, data-driven radio resource management. This is pe…
Demo: Multi-Modal Seizure Prediction System
Ali Saeizadeh, Pietro Brach del Prever, Douglas Schonholtz +5
This demo presents SeizNet, an innovative system for predicting epileptic seizures benefiting from a multi-modal sensor network and utilizing Deep Learning (DL) techniques. Epileps…
TwiNet: Connecting Real World Networks to their Digital Twins Through a Live Bidirectional Link
Clifton Paul Robinson, Andrea Lacava, Pedram Johari +2
The wireless spectrum's increasing complexity poses challenges and opportunities, highlighting the necessity for real-time solutions and robust data processing capabilities. Digita…
AI-assisted Agile Propagation Modeling for Real-time Digital Twin Wireless Networks
Ali Saeizadeh, Miead Tehrani-Moayyed, Davide Villa +6
Accurate channel modeling in real-time faces remarkable challenge due to the complexities of traditional methods such as ray tracing and field measurements. AI-based techniques hav…
A Multi-Modal Non-Invasive Deep Learning Framework for Progressive Prediction of Seizures
Ali Saeizadeh, Douglas Schonholtz, Joseph S. Neimat +2
This paper introduces an innovative framework designed for progressive (granular in time to onset) prediction of seizures through the utilization of a Deep Learning (DL) methodolog…
Open6G OTIC: A Blueprint for Programmable O-RAN and 3GPP Testing Infrastructure
Gabriele Gemmi, Michele Polese, Pedram Johari +3
Softwarized and programmable Radio Access Networks (RANs) come with virtualized and disaggregated components, increasing the supply chain robustness and the flexibility and dynamis…
Listen-While-Talking: Toward dApp-based Real-Time Spectrum Sharing in O-RAN
Rajeev Gangula, Andrea Lacava, Michele Polese +5
This demo paper presents a dApp-based real-time spectrum sharing scenario where a 5th generation (5G) base station implementing the NR stack adapts its transmission and reception s…
ColosSUMO: Evaluating Cooperative Driving Applications with Colosseum
Gabriele Gemmi, Pedram Johari, Paolo Casari +3
The quest for safer and more efficient transportation through cooperative, connected and automated mobility (CCAM) calls for realistic performance analysis tools, especially with r…
Colosseum: The Open RAN Digital Twin
Michele Polese, Leonardo Bonati, Salvatore D'Oro +11
Recent years have witnessed the Open Radio Access Network (RAN) paradigm transforming the fundamental ways cellular systems are deployed, managed, and optimized. This shift is led…
BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks
Paolo Testolina, Michele Polese, Pedram Johari +1
Digital twins are now a staple of wireless networks design and evolution. Creating an accurate digital copy of a real system offers numerous opportunities to study and analyze its…
SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction
Ali Saeizadeh, Douglas Schonholtz, Daniel Uvaydov +6
In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks. While phar…
Demo: Intelligent Radar Detection in CBRS Band in the Colosseum Wireless Network Emulator
Davide Villa, Daniel Uvaydov, Leonardo Bonati +3
The ever-growing number of wireless communication devices and technologies demands spectrum-sharing techniques. Effective coexistence management is crucial to avoid harmful interfe…
Twinning Commercial Radio Waveforms in the Colosseum Wireless Network Emulator
Davide Villa, Daniel Uvaydov, Leonardo Bonati +3
Because of the ever-growing amount of wireless consumers, spectrum-sharing techniques have been increasingly common in the wireless ecosystem, with the main goal of avoiding harmfu…
SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication System
Amani Al-shawabka, Philip Pietraski, Sudhir B Pattar +2
Radio Frequency Fingerprinting through Deep Learning (RFFDL) is a data-driven IoT authentication technique that leverages the unique hardware-level manufacturing imperfections asso…
Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation
Davide Villa, Miead Tehrani-Moayyed, Clifton Paul Robinson +4
Wireless network emulators are being increasingly used for developing and evaluating new solutions for Next Generation (NextG) wireless networks. However, the reliability of the so…
ESWORD: Implementation of Wireless Jamming Attacks in a Real-World Emulated Network
Clifton Paul Robinson, Leonardo Bonati, Tara Van Nieuwstadt +6
Wireless jamming attacks have plagued wireless communication systems and will continue to do so going forward with technological advances. These attacks fall under the category of…
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…
Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation
Leonardo Bonati, Pedram Johari, Michele Polese +16
Colosseum is an open-access and publicly-available large-scale wireless testbed for experimental research via virtualized and softwarized waveforms and protocol stacks on a fully p…