285 citations · 1.2k across the 69 of their papers we have counts for
70 papers
Improving 5G AI-RAN MCS Selection by Predicting Retransmissions
Tamerlan Aghayev, Maxime Elkael, Michele Polese +5
Link Adaptation (LA) in 5G NR is inherently reactive, relying on channel measurements and HARQ feedback that may become quickly obsolete when the channel changes quickly. This data…
MAC-Gyver: Open, Programmable, Scheduling for AI-RAN 6G Systems
Maxime Elkael, Reshma Prasad, Tamerlan Aghayev +3
Cellular networks are integrating Artificial Intelli- gence (AI) into radio access network control. The MAC scheduler is a promising target because it allocates a limited resource,…
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…
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…
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…
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…
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…
Should I Have Expressed a Different Intent? Counterfactual Generation for LLM-Based Autonomous Control
Amirmohammad Farzaneh, Salvatore D'Oro, Osvaldo Simeone
Large language model (LLM)-powered agents can translate high-level user intents into plans and actions in an environment. Yet after observing an outcome, users may wonder: What if…
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…
On AI Verification in Open RAN
Rahul Soundrarajan, Claudio Fiandrino, Michele Polese +3
Open RAN introduces a flexible, cloud-based architecture for the Radio Access Network (RAN), enabling Artificial Intelligence (AI)/Machine Learning (ML)-driven automation across he…
TailO-RAN: O-RAN Control on Scheduler Parameters to Tailor RAN Performance
Nicolo Longhi, Salvatore D'Oro, Leonardo Bonati +3
The traditional black-box and monolithic approach to Radio Access Networks (RANs) has heavily limited flexibility and innovation. The Open RAN paradigm, and the architecture propos…
VeriPHY: Physical Layer Signal Authentication for Wireless Communication in 5G Environments
Clifton Paul Robinson, Salvatore D'Oro, Tommaso Melodia
Physical layer authentication (PLA) uses inherent characteristics of the communication medium to provide secure and efficient authentication in wireless networks, bypassing the nee…
AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks
Maxime Elkael, Salvatore D'Oro, Leonardo Bonati +4
Despite the programmable architecture of Open RAN, today's deployments still rely heavily on static control and manual operations. To move beyond this limitation, we introduce Agen…
Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
Michele Polese, Niloofar Mohamadi, Salvatore D'Oro +2
Data-intensive Artificial Intelligence (AI) applications at the network edge demand a fundamental shift in Radio Access Network (RAN) design, from merely consuming AI for network o…
5G Aero: A Prototyping Platform for Evaluating Aerial 5G Communications
Matteo Bordin, Madhukara S. Holla, Sakthivel Velumani +2
The application of small-factor, 5G-enabled Unmanned Aerial Vehicles (UAVs) has recently gained significant interest in various aerial and Industry 4.0 applications. However, ensur…
CORMO-RAN: Lossless Migration of xApps in O-RAN
Antonio Calagna, Stefano Maxenti, Leonardo Bonati +3
Open Radio Access Network (RAN) is a key paradigm to attain unprecedented flexibility of the RAN via disaggregation and Artificial Intelligence (AI)-based applications called xApps…
LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps
Filippo Olimpieri, Noemi Giustini, Andrea Lacava +3
The O-RAN architecture is transforming cellular networks by adopting RAN softwarization and disaggregation concepts to enable data-driven monitoring and control of the network. Suc…
AutoRAN: Automated and Zero-Touch Open RAN Systems
Stefano Maxenti, Ravis Shirkhani, Maxime Elkael +4
[...] This paper presents AutoRAN, an automated, intent-driven framework for zero-touch provisioning of open, programmable cellular networks. Leveraging cloud-native principles, Au…
Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences
Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132
This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…
dApps: Enabling Real-Time AI-Based Open RAN Control
Andrea Lacava, Leonardo Bonati, Niloofar Mohamadi +7
Open Radio Access Networks (RANs) leverage disaggregated and programmable RAN functions and open interfaces to enable closed-loop, data-driven radio resource management. This is pe…
Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios
Cleverson Nahum, Salvatore D'Oro, Pedro Batista +4
The future mobile network has the complex mission of distributing available radio resources among various applications with different requirements. The radio access network slicing…
TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments
Joshua Groen, Simone Di Valerio, Imtiaz Karim +9
5G and beyond cellular systems embrace the disaggregation of Radio Access Network (RAN) components, exemplified by the evolution of the fronthaul (FH) connection between cellular b…
ORANSlice: An Open-Source 5G Network Slicing Platform for O-RAN
Hai Cheng, Salvatore D'Oro, Rajeev Gangula +7
Network slicing allows Telecom Operators (TOs) to support service provisioning with diverse Service Level Agreements (SLAs). The combination of network slicing and Open Radio Acces…
Twinning Commercial Network Traces on Experimental Open RAN Platforms
Leonardo Bonati, Ravis Shirkhani, Claudio Fiandrino +4
While the availability of large datasets has been instrumental to advance fields like computer vision and natural language processing, this has not been the case in mobile networki…