8 citations · 14 across the 4 of their papers we have counts for
5 papers · 1 filter
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…
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…
Simulation of machine learning-based 6G systems in virtual worlds
Ailton Oliveira, Felipe Bastos, Isabela Trindade +5
Digital representations of the real world are being used in many applications, such as augmented reality. 6G systems will not only support use cases that rely on virtual worlds but…
Generating MIMO Channels For 6G Virtual Worlds Using Ray-tracing Simulations
Aldebaro Klautau, Ailton de Oliveira, Isabela Pamplona Trindade +1
Some 6G use cases include augmented reality and high-fidelity holograms, with this information flowing through the network. Hence, it is expected that 6G systems can feed machine l…
Ray-Tracing 5G Channels from Scenarios with Mobility Control of Vehicles and Pedestrians
Ailton Oliveira, Marcus Dias, Isabela Trindade +1
Millimeter waves is one of 5G networks strategies to achieve high bit rates. Measurement campaigns with these signals are difficult and require expensive equipment. In order to gen…