4 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…