activity
20222026
most citedMachine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets

8 citations · 26 across the 10 of their papers we have counts for

collaborators

11 papers

cs.NI2026

Energy-Driven Evaluation of Network Digital Twinning Applied to mmWave Beam Management

João Borges, Bruno Castro, Kleber Cardoso +2

Network Digital Twins (NDTs) are important enablers of 6G and future networks. However, there is a lack of studies regarding practical aspects, such as the impact of simultaneously…

cs.NI2026

Ray Tracing-Based LoRaWAN Gateway Placement for Reliable Connectivity in Amazonian Regions

Cláudio Modesto, Lucas Mozart, Cleverson Nahum +2

Network planning is an important task in wireless communications, as it helps network operators avoid unnecessary costs. In the context of the internet of things, using long-range…

cs.NI2026★ 2 cited

LoRaWAN Gateway Placement for Network Planning Using Ray Tracing-Based Channel Models

Cláudio Modesto, Lucas Mozart, Glauco Gonçalves +3

Network planning for long range wide area networks (LoRaWAN) relies heavily on the channel models used to estimate wireless coverage and connectivity. Consequently, the quality of…

eess.SP2025

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…

cs.NI2025★ 1 cited

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…

cs.NI2025

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…

cs.NI2025★ 5 cited

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…

cs.NI2025★ 4 cited

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…

eess.SP2024★ 8 cited

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…

cs.NI2024

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…

eess.SP2022★ 6 cited

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…