4 papers
From Waves to Graphs: A Ray-Tracing-Inspired Neural Radio Propagation Model
Paul Almasan, Stefanos Bakirtzis, José Suárez-Varela +1
Artificial intelligence-driven radio propagation models provide agile and robust solutions for mobile network operators in their effort to ensure the optimal performance of the wir…
Direct-to-Device Connectivity for Integrated Communication, Navigation and Surveillance
Muhammad Asad Ullah, Davi Brilhante, LuÃs Eduardo Partichelli Potrich +4
Sixth-generation (6G) communication systems are expected to support direct-to-device (D2D) connectivity, enabling standard user equipment (UE) to seamlessly transition to non-terre…
Meta-Learning-Based Handover Management in NextG O-RAN
Michail Kalntis, George Iosifidis, José Suárez-Varela +2
While traditional handovers (THOs) have served as a backbone for mobile connectivity, they increasingly suffer from failures and delays, especially in dense deployments and high-fr…
Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question
Stefanos Bakirtzis, Paul Almasan, José Suárez-Varela +5
Differentiable ray tracing has recently challenged the status quo in radio propagation modelling and digital twinning. Promising unprecedented speed and the ability to learn from r…