5 citations · 9 across the 5 of their papers we have counts for
5 papers
Accelerating Ray Tracing-Based Wireless Channels Generation for Real-Time Network Digital Twins
Cláudio Modesto, Lucas Mozart, Pedro Batista +2
Ray tracing (RT) simulation is a widely used approach to enable modeling wireless channels in applications such as network digital twins. However, the computational cost to execute…
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…
CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twins
João Borges, Felipe Bastos, Ilan Correa +2
Digital twins are an important technology for advancing mobile communications, specially in use cases that require simultaneously simulating the wireless channel, 3D scenes and mac…
5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning
Aldebaro Klautau, Pedro Batista, Nuria Gonzalez-Prelcic +2
The increasing complexity of configuring cellular networks suggests that machine learning (ML) can effectively improve 5G technologies. Deep learning has proven successful in ML ta…
Tenant-Aware Slice Admission Control using Neural Networks-Based Policy Agent
Pedro Batista, Shah Nawaz Khan, Peter Öhlén +1
5G networks will provide the platform for deploying large number of tenant-associated management, control and end-user applications having different resource requirements at the in…