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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

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Showing 2025Show all

5 papers · 1 filter

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…