collaborators

27 papers

cs.NI2026

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…

eess.SP2026

AIRMap: AI-Generated Radio Maps for Wireless Digital Twins

Ali Saeizadeh, Miead Tehrani-Moayyed, Davide Villa +4

Accurate, low-latency channel modeling is essential for real-time wireless network simulation and digital-twin applications. Traditional modeling methods like ray tracing are howev…

eess.SY2026

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…

cs.NI2026

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…

cs.NI2026

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments

Maria Tsampazi, Neagin Neasamoni Santhi, Nicole Perrotta +2

Artificial Intelligence (AI)-powered Radio Access Network (RAN) networks have attracted significant attention from both industry and academia. Meanwhile, Digital Twins offer a safe…

cs.NI2026

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…