62 citations · 151 across the 17 of their papers we have counts for
18 papers
RIS Control through the Lens of Stochastic Network Calculus: An O-RAN Framework for Delay-Sensitive 6G Applications
Oscar Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore +2
Reconfigurable Intelligent Surfaces (RIS) enable dynamic electromagnetic control for 6G networks, but existing control schemes lack responsiveness to fast-varying network condition…
MapViT: A Two-Stage ViT-Based Framework for Real-Time Radio Quality Map Prediction in Dynamic Environments
Cyril Shih-Huan Hsu, Xi Li, Lanfranco Zanzi +3
Recent advancements in mobile and wireless networks are unlocking the full potential of robotic autonomy, enabling robots to take advantage of ultra-low latency, high data throughp…
Meta-reasoning Using Attention Maps and Its Applications in Cloud Robotics
Adrian Lendinez, Renxi Qiu, Lanfranco Zanzi +1
Metareasoning, a branch of AI, focuses on reasoning about reasons. It has the potential to enhance robots' decision-making processes in unexpected situations. However, the concept…
Energy-aware Joint Orchestration of 5G and Robots: Experimental Testbed and Field Validation
Milan Groshev, Lanfranco Zanzi, Carmen Delgado +3
5G mobile networks introduce a new dimension for connecting and operating mobile robots in outdoor environments, leveraging cloud-native and offloading features of 5G networks to e…
MAREA: A Delay-Aware Multi-time-Scale Radio Resource Orchestrator for 6G O-RAN
Oscar Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore +1
The Open Radio Access Network (O-RAN)-compliant solutions often lack crucial details for implementing effective control loops at various time scales. To overcome this, we introduce…
Network Digital Twin for 5G-Enabled Mobile Robots
Luis Roda Sanchez, Lanfranco Zanzi, Xi Li +2
The maturity and commercial roll-out of 5G networks and its deployment for private networks makes 5G a key enabler for various vertical industries and applications, including robot…
Cellular-enabled Collaborative Robots Planning and Operations for Search-and-Rescue Scenarios
Arnau Romero, Carmen Delgado, Lanfranco Zanzi +2
Mission-critical operations, particularly in the context of Search-and-Rescue (SAR) and emergency response situations, demand optimal performance and efficiency from every componen…
Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach
Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore +17
Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents. These advancements impose new requir…
ORANUS: Latency-tailored Orchestration via Stochastic Network Calculus in 6G O-RAN
Oscar Adamuz-Hinojosa, Lanfranco Zanzi, Vincenzo Sciancalepore +2
The Open Radio Access Network (O-RAN)-compliant solutions lack crucial details to perform effective control loops at multiple time scales. In this vein, we propose ORANUS, an O-RAN…
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti +4
Artificial intelligence (AI) and Machine Learning (ML) are considered as key enablers for realizing the full potential of fifth-generation (5G) and beyond mobile networks, particul…
Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
Bouziane Brik, Hatim Chergui, Lanfranco Zanzi +5
The recent O-RAN specifications promote the evolution of RAN architecture by function disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop c…
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti +3
Network slicing enables multiple virtual networks to be instantiated and customized to meet heterogeneous use case requirements over 5G and beyond network deployments. However, mos…
OROS: Online Operation and Orchestration of Collaborative Robots using 5G
Arnau Romero, Carmen Delgado, Lanfranco Zanzi +2
The 5G mobile networks extend the capability for supporting collaborative robot operations in outdoor scenarios. However, the restricted battery life of robots still poses a major…
-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios
Armin Okic, Lanfranco Zanzi, Vincenzo Sciancalepore +2
Vehicle-to-everything (V2X) is expected to become one of the main drivers of 5G business in the near future. Dedicated \emph{network slices} are envisioned to satisfy the stringent…
ARENA: A Data-driven Radio Access Networks Analysis of Football Events
Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra +3
Mass events represent one of the most challenging scenarios for mobile networks because, although their date and time are usually known in advance, the actual demand for resources…
LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks
Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra +2
Network Slicing is expected to become a game changer in the upcoming 5G networks and beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry pro…
NSBchain: A Secure Blockchain Framework for Network Slicing Brokerage
Lanfranco Zanzi, Antonio Albanese, Vincenzo Sciancalepore +1
With the advent of revolutionary technologies, such as virtualization and softwarization, a novel concept for 5G networks and beyond has been unveiled: Network Slicing. Initially d…
ONETS: Online Network Slice Broker From Theory to Practice
Vincenzo Sciancalepore, Lanfranco Zanzi, Xavier Costa-Perez +1
Network slicing allows mobile network operators to open their physical network infrastructure platform to the concurrent deployment of multiple logical self-contained networks, i.e…