activity
20182026
most citedNSBchain: A Secure Blockchain Framework for Network Slicing Brokerage

62 citations · 151 across the 17 of their papers we have counts for

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12 papers · 1 filter

cs.NI2026

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…

cs.NI2026

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…

cs.NI2025★ 3 cited

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…

cs.NI2025

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…

cs.NI2024

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…

cs.NI2023

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…

cs.NI2023★ 12 cited

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…

cs.NI2022★ 3 cited

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…

cs.NI2022★ 17 cited

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…

cs.NI2020★ 40 cited

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…

cs.NI2020★ 62 cited

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…

cs.NI2018

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…