7 citations · 10 across the 7 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
Testbed for Connected Artificial Intelligence using Unmanned Aerial Vehicles and Convolutional Pose Machines
Diego Dantas, Carnot Braun, Kaio Forte +5
Unmanned Aerial Vehicles (UAVs) became very popular in a vast number of applications in recent years, especially drones with computer vision functions enabled by on-board cameras a…
Virtualized C-RAN Orchestration with Docker, Kubernetes and OpenAirInterface
Camila Novaes, Cleverson Nahum, Igor Trindade +3
Virtualization is a key feature in Cloud Radio Access Network (C-RAN). It can help to save costs since it allows the use of virtualized base stations instead of physically deployme…
Downlink Fronthaul Compression in Frequency Domain using OpenAirInterface
Cleverson Nahum, Leonardo Ramalho, Joary Fortuna +4
This paper presents a compression scheme developed for the transport of downlink radio signals in packet fronthaul of centralized-radio access networks (C-RAN). The technique is ta…