285 citations · 1.2k across the 69 of their papers we have counts for
57 papers · 1 filter
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…
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…
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…
Listen-While-Talking: Toward dApp-based Real-Time Spectrum Sharing in O-RAN
Rajeev Gangula, Andrea Lacava, Michele Polese +5
This demo paper presents a dApp-based real-time spectrum sharing scenario where a 5th generation (5G) base station implementing the NR stack adapts its transmission and reception s…
PandORA: Automated Design and Comprehensive Evaluation of Deep Reinforcement Learning Agents for Open RAN
Maria Tsampazi, Salvatore D'Oro, Michele Polese +5
The highly heterogeneous ecosystem of NextG wireless communication systems calls for novel networking paradigms where functionalities and operations can be dynamically and optimall…
PACIFISTA: Conflict Evaluation and Management in Open RAN
Pietro Brach del Prever, Salvatore D'Oro, Leonardo Bonati +4
The O-RAN ALLIANCE is defining architectures, interfaces, operations, and security requirements for cellular networks based on Open Radio Access Network (RAN) principles. In this c…