10 citations · 10 across the 12 of their papers we have counts for
13 papers · 1 filter
Agentic RDZ: Autonomous Zone Management with AI Agents and an FR3 Coexistence Use Case
Minh Dat Nguyen, Gabriele Gemmi, Tamerlan Aghayev +3
Radio Dynamic Zones (RDZs) allow wireless experiments to operate outside conventional spectrum regulations while continuously guaranteeing protection for incumbent users. Existing…
From Open RAN to Open Spectrum: A Programmable, Intelligent Architecture for Multi-Service Spectrum Coexistence
Michele Polese, Minh Dat Nguyen, Paolo Testolina +1
Considering sharing or coexistence from the perspective of spectrum alone fails to recognize that any spectrum-enabled service also requires (i) radio and processing infrastructure…
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…
Bringing dApps to OCUDU: An E3 Controller for Real-Time Open RAN Intelligence
Angelo Feraudo, Ravis Shirkhani, Stefano Maxenti +3
Real-time control loops in Open RAN are increasingly colocated with the gNB, where dApps, i.e., programmable applications with sub-millisecond access to PHY- and MAC-layer signals,…
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,…
AUGUSTE: Online-Learning dApp for Predictive URLLC Scheduling
Maxime Elkael, Michele Polese, Yunseong Lee +2
Ultra Reliable and Low Latency Communications (URLLC) was one of the main motivations behind 5G, with 3GPP advertising 1-10 ms latency targets for applications such as industrial a…
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…
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…
BLINC: Context-Specific Causal Learning for Automated RAN Configuration
Reshma Prasad, Michele Polese, Tommaso Melodia
Radio Access Network (RAN) configuration has traditionally required significant manual effort due to indirect causal dependencies between observable Key Performance Indicators (KPI…
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…
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…
Enabling Programmable Inference and ISAC at the 6GR Edge with dApps
Michele Polese, Rajeev Gangula, Tommaso Melodia
The convergence of communication, sensing, and Artificial Intelligence (AI) in the Radio Access Network (RAN) offers compelling economic advantages through shared spectrum and infr…
Performance Comparison of Dual Connectivity and Hard Handover for LTE-5G Tight Integration in mmWave Cellular Networks
Michele Polese
MmWave communications are expected to play a major role in the Fifth generation of mobile networks. They offer a potential multi-gigabit throughput and an ultra-low radio latency,…