28 citations · 95 across the 36 of their papers we have counts for
43 papers
Tutorial on Closed-Loop and Application-Aware Digital Twins for Future Wireless Networks
Yuchen Liu, Sara Garcia Sanchez, Mingzhe Chen +3
To support emerging applications such as extended reality, autonomous systems, and large-scale cyber-physical infrastructures, next-generation wireless networks must evolve beyond…
Agentic RDZ: Autonomous Zone Management with AI Agents and an FR3 Coexistence Use Case
Minh Dat Nguyen, Gabriele Gemmi, Tamerlan Aghayev +3
Radio Dynamic Zones (RDZs) allow wireless experiments to operate outside conventional spectrum regulations while continuously guaranteeing protection for incumbent users. Existing…
From Open RAN to Open Spectrum: A Programmable, Intelligent Architecture for Multi-Service Spectrum Coexistence
Michele Polese, Minh Dat Nguyen, Paolo Testolina +1
Considering sharing or coexistence from the perspective of spectrum alone fails to recognize that any spectrum-enabled service also requires (i) radio and processing infrastructure…
Bringing dApps to OCUDU: An E3 Controller for Real-Time Open RAN Intelligence
Angelo Feraudo, Ravis Shirkhani, Stefano Maxenti +3
Real-time control loops in Open RAN are increasingly colocated with the gNB, where dApps, i.e., programmable applications with sub-millisecond access to PHY- and MAC-layer signals,…
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…
Spectrum Sharing Across Terrestrial and Non-Terrestrial Services in the FR3 Upper Midband
Paolo Testolina, Ergest Beshaj, Michele Polese +1
The frequency bands between 7 and 24 GHz, also known as upper midband or Frequency Range (FR) 3, are being considered as an enabler of 6th Generation (6G) mobile networks. This por…
AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling
Maxime Elkael, Michele Polese, Yunseong Lee +2
Ultra Reliable and Low Latency Communications (URLLC) was one of the main motivations behind 5G, with 3GPP advertising 1-10 ms latency targets for applications such as industrial a…
ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments
Maria Tsampazi, Neagin Neasamoni Santhi, Nicole Perrotta +2
Artificial Intelligence (AI)-powered Radio Access Network (RAN) networks have attracted significant attention from both industry and academia. Meanwhile, Digital Twins offer a safe…
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…
StormShield: Fingerprint-Based Detection and Mitigation of RRC Signaling Storms in O-RAN 5G RANs
Noemi Giustini, Andrea Lacava, Leonardo Bonati +4
5G networks provide low-latency, high throughput, and massive connectivity, yet the control plane remains exposed to several security threats. Among the most common and impactful t…
Performance Characterization of dApps in Open Radio Access Networks
Conrado Boeira, Eduardo Baena, Andrea Lacava +3
Despite recommendations to deploy real-time Open Radio Access Network (O-RAN) applications (dApps) in containerized environments, existing approaches predominantly rely on bare-met…
BLINC: Context-Specific Causal Learning for Automated RAN Configuration
Reshma Prasad, Michele Polese, Tommaso Melodia
Radio Access Network (RAN) configuration has traditionally required significant manual effort due to indirect causal dependencies between observable Key Performance Indicators (KPI…
ARCHES: Adaptive Real-Time Switching of AI Models for the RAN
Neagin Neasamoni Santhi, Davide Villa, Michele Polese +4
Artificial Intelligence (AI) has become a powerful tool for model-free Radio Access Network (RAN) signal processing and optimization. However, designing a single model that general…
RANalyzer: Automated Continuous RAN Software Evaluation and Regression Analysis
Ravis Shirkhani, Reshma Prasad, Leonardo Bonati +2
Software-driven O-RAN architectures enable rapid innovation through frequent, independent updates to virtualized components. However, attributing performance variations to specific…
Enabling Programmable Inference and ISAC at the 6GR Edge with dApps
Michele Polese, Rajeev Gangula, Tommaso Melodia
The convergence of communication, sensing, and Artificial Intelligence (AI) in the Radio Access Network (RAN) offers compelling economic advantages through shared spectrum and infr…
Satellite-Terrestrial Spectrum Sharing in FR3 through QoS-Aware Power Control and Spatial Nulling
Maria Tsampazi, Paolo Testolina, Michele Polese +1
Frequency Range 3 (FR3), encompassing frequencies between 7.125 and 24.25 GHz, is an emerging frequency band for 6th generation (6G) applications. The upper mid-band, as it is freq…
A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN
Gabriele Gemmi, Michele Polese, Tommaso Melodia
The large-scale deployment of 5G networks has not delivered the expected return on investment for mobile network operators, raising concerns about the economic viability of future…
Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
Matteo Bordin, Andrea Lacava, Michele Polese +2
The growing performance demands and higher deployment densities of next-generation wireless systems emphasize the importance of adopting strategies to manage the energy efficiency…
Programmable and GPU-Accelerated Edge Inference for Real-Time ISAC on NVIDIA Aerial Testbed
Davide Villa, Mauro Belgiovine, Nicholas Hedberg +3
The transition of cellular networks to (i) software-based systems on commodity hardware and (ii) platforms for services beyond connectivity introduces critical system-level challen…
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…
Pointing-Error-Induced Fading in an Open-Loop THz Uplink with Hardware Impairments
P. Brach del Prever, P. Testolina, A. Masihi +4
We analyze the open-loop mechanical tracking performance of a sub-Terahertz (sub-THz) and Terahertz (THz) uplink communication system. These high-frequency bands enable multi-gigab…
Joint Routing, Resource Allocation, and Energy Optimization for Integrated Access and Backhaul with Open RAN
Reshma Prasad, Maxime Elkael, Gabriele Gemmi +6
As networks evolve towards 6G, Mobile Network Operators (MNOs) must accommodate diverse requirements and at the same time manage rising energy consumption. Integrated Access and Ba…
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…
InterfO-RAN: Real-Time In-band Cellular Uplink Interference Detection with GPU-Accelerated dApps
Neagin Neasamoni Santhi, Davide Villa, Michele Polese +1
Ultra-dense fifth generation (5G) and beyond networks leverage spectrum sharing and frequency reuse to enhance throughput, but face unpredictable in-band uplink (UL) interference c…