8 citations · 9 across the 5 of their papers we have counts for
5 papers
DL-Based Beam Management for mmWave Vehicular Networks Exploring Temporal Correlation
Ailton Oliveira, Amir Khatibi, Daniel Suzuki +3
Millimeter wave communications are essential for modern wireless networks. It supports high data rates but suffers from severe path loss, which requires precise beam alignment to m…
Towards a Robust Transport Network With Self-adaptive Network Digital Twin
Cláudio Modesto, João Borges, Cleverson Nahum +8
The ability of the Network digital twin (NDT) to remain aware of changes in its physical counterpart, known as the physical twin (PTwin), is a fundamental condition to enable timel…
Network Digital Twin for Route Optimization in 5G/B5G Transport Slicing with What-If Analysis
Rebecca Aben-Athar, Heitor Anglada, Lucas Costa +9
The advent of fifth-generation (5G) and Beyond 5G (B5G) networks introduces diverse service requirements, from ultra-low latency to high bandwidth, demanding dynamic monitoring and…
Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets
Ailton Oliveira, Daniel Suzuki, Sávio Bastos +2
This work investigates the use of machine learning applied to the beam tracking problem in 5G networks and beyond. The goal is to decrease the overhead associated to MIMO millimete…
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…