activity
20202026
most citedAI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends

187 citations · 280 across the 12 of their papers we have counts for

collaborators

14 papers

cs.NI2026

Intent2Tc: Automated Intent-to-Traffic Control Translation with Language Models

Andrea Masini, Sudipta Acharya, Paolo Bellavista +2

Automated and highly usable Quality-of-Service (QoS) enforcement requires translating high-level service intents into deployable traffic-management policies. Although intent-based…

cs.DC2026

Decentralized Stratified Sampling for Low-Latency Approximate Geospatial Data Stream Processing in Edge-Cloud Architectures

Isam Mashhour Al Jawarneh, Lorenzo Felletti, Luca Foschini +1

The exponential growth of geospatial data streams flowing from IoT devices challenges conventional cloud-based analytics, which typically suffer from network bandwidth waste and la…

cs.NI2026

MANATEE: A DevOps Platform for xApp Lifecycle Management and Testing in Open RAN

Sofia Montebugnoli, Leonardo Bonati, Andrea Sabbioni +5

The shift to disaggregated 5G architectures introduces unprecedented flexibility but also significant complexity in Beyond 5G Radio Access Networks (RANs). Open RAN enables program…

cs.CR2024★ 2 cited

AI-Driven Intrusion Detection Systems (IDS) on the ROAD Dataset: A Comparative Analysis for Automotive Controller Area Network (CAN)

Lorenzo Guerra, Linhan Xu, Paolo Bellavista +4

The integration of digital devices in modern vehicles has revolutionized automotive technology, enhancing safety and the overall driving experience. The Controller Area Network (CA…

cs.NI2024

A Novel OMNeT++-based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-compliant 5G Environments

Angelo Feraudo, Alessandro Calvio, Paolo Bellavista

Vehicular cloud computing is gaining popularity thanks to the rapid advancements in next generation wireless communication networks. Similarly, Edge Computing, along with its stand…

cs.NI2023

A Layered Architecture Enabling Metaverse Applications in Smart Manufacturing Environments

Armir Bujari, Alessandro Calvio, Andrea Garbugli +1

The steady rollout of Industrial IoT (IIoT) technology in the manufacturing domain embodies the potential to implement smarter and more resilient production processes. To this end,…

cs.NI2023

Mitigating IoT Botnet DDos Attacks through MUD and eBPF based Traffic Filtering

Angelo Feraudo, Diana Andreea Popescu, Poonam Yadav +2

As the prevalence of Internet-of-Things (IoT) devices becomes more and more dominant, so too do the associated management and security challenges. One such challenge is the exploit…

cs.NI2023

A Novel Design for Advanced 5G Deployment Environments with Virtualized Resources at Vehicular and MEC Nodes

Angelo Feraudo, Alessando Calvio, Armir Bujari +1

IoT and edge computing are profoundly changing the information era, bringing a hyper-connected and context-aware computing environment to reality. Connected vehicles are a critical…

cs.LG2022★ 7 cited

Knowledge Distillation for Federated Learning: a Practical Guide

Alessio Mora, Irene Tenison, Paolo Bellavista +1

Federated Learning (FL) enables the training of Deep Learning models without centrally collecting possibly sensitive raw data. The most used algorithms for FL are parameter-averagi…

cs.AI2022★ 187 cited

AI and 6G into the Metaverse: Fundamentals, Challenges and Future Research Trends

Muhammad Zawish, Fayaz Ali Dharejo, Sunder Ali Khowaja +4

Since Facebook was renamed Meta, a lot of attention, debate, and exploration have intensified about what the Metaverse is, how it works, and the possible ways to exploit it. It is…

cs.NI2022★ 30 cited

Industry 5.0 is Coming: A Survey on Intelligent NextG Wireless Networks as Technological Enablers

Shah Zeb, Aamir Mahmood, Sunder Ali Khowaja +5

Industry 5.0 vision, a step toward the next industrial revolution and enhancement to Industry 4.0, envisioned the new goals of resilient, sustainable, and human-centric approaches…

cs.NI2022

IIFNet: A Fusion based Intelligent Service for Noisy Preamble Detection in 6G

Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +4

In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble d…

cs.LG2022★ 48 cited

Towards Energy Efficient Distributed Federated Learning for 6G Networks

Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja +1

The provision of communication services via portable and mobile devices, such as aerial base stations, is a crucial concept to be realized in 5G/6G networks. Conventionally, IoT/ed…

cs.NI2020★ 6 cited

SoK: Beyond IoT MUD Deployments -- Challenges and Future Directions

Angelo Feraudo, Poonam Yadav, Richard Mortier +2

Due to the advancement of IoT devices in both domestic and industrial environments, the need to incorporate a mechanism to build accountability in the IoT ecosystem is paramount. I…