activity
20202026
most citedOpen, Programmable, and Virtualized 5G Networks: State-of-the-Art and the Road Ahead

256 citations · 715 across the 48 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

cs.NI2026

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…

cs.NI2026

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…

cs.NI2026

Predicting Conflict Impact on Performance in O-RAN

Pietro Brach del Prever, Niloofar Mohamadi, Salvatore D'Oro +7

The O-RAN Alliance promotes the integration of intelligent autonomous agents to control the Radio Access Network (RAN). This improves flexibility, performance, and observability in…

cs.NI2026

TENORAN: Automating Fine-grained Energy Efficiency Profiling in Open RAN Systems

Ravis Shirkhani, Stefano Maxenti, Leonardo Bonati +7

The transition to disaggregated and interoperable Open Radio Access Network (RAN) architectures and the introduction of RAN Intelligent Controllers (RICs) in O-RAN creates new reso…

cs.NI2026

xDevSM: An Open-Source Framework for Portable, AI-Ready xApps Across Heterogeneous O-RAN Deployments

Angelo Feraudo, Stefano Maxenti, Andrea Lacava +4

Openness and programmability in the O-RAN architecture enable closed-loop control of the Radio Access Network (RAN). Artificial Intelligence (AI)-driven xApps, in the near-real-tim…

cs.NI2026

SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control

MohammadErfan Jabbari, Abhishek Duttagupta, Claudio Fiandrino +5

Deep reinforcement learning (DRL) promises adaptive control for future mobile networks but conventional agents remain reactive: they act on past and current measurements and cannot…

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…