671 citations · 3.8k across the 116 of their papers we have counts for
12 papers · 1 filter
Coordinated Spectrum Coexistence Across Heterogeneous Commercial and Federal Services
Minh Dat Nguyen, Paolo Testolina, Pedram Johari +2
Future wireless networks are expected to support the coexistence of cellular communications, radio frequency (RF) sensing, radionavigation, and radiolocation radar-among others-ove…
Spectrum Sharing Across Terrestrial and Non-Terrestrial Services in the FR3 Upper Midband
Paolo Testolina, Ergest Beshaj, Michele Polese +1
The frequency bands between 7 and 24 GHz, also known as upper midband or Frequency Range (FR) 3, are being considered as an enabler of 6th Generation (6G) mobile networks. This por…
Satellite-Terrestrial Spectrum Sharing in FR3 through QoS-Aware Power Control and Spatial Nulling
Maria Tsampazi, Paolo Testolina, Michele Polese +1
Frequency Range 3 (FR3), encompassing frequencies between 7.125 and 24.25 GHz, is an emerging frequency band for 6th generation (6G) applications. The upper mid-band, as it is freq…
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…
A Techno-Economic Framework for Cost Modeling and Revenue Opportunities in Open and Programmable AI-RAN
Gabriele Gemmi, Michele Polese, Tommaso Melodia
The large-scale deployment of 5G networks has not delivered the expected return on investment for mobile network operators, raising concerns about the economic viability of future…
From High-Level Requirements to KPIs: Conformal Signal Temporal Logic Learning for Wireless Communications
Jiechen Chen, Michele Polese, Osvaldo Simeone
Softwarized radio access networks (RANs), such as those based on the Open RAN (O-RAN) architecture, generate rich streams of key performance indicators (KPIs) that can be leveraged…
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…
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…
On the Spatial Consistency of Sub-Terahertz Channel Characteristics for Beyond-6G Systems
Hossein Amininasab, Huda Farooqui, Dmitri Moltchanov +4
Ray tracing is a versatile approach for precise sub-terahertz (sub-THz, 100-300 GHz) channel modeling when designing new mechanisms for beyond-6G cellular systems. Theoretically, w…
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…
Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
Matteo Bordin, Andrea Lacava, Michele Polese +2
The growing performance demands and higher deployment densities of next-generation wireless systems emphasize the importance of adopting strategies to manage the energy efficiency…