Navegando por Autor "BASTOS, Felipe Henrique Bastos e"

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Acesso aberto (Open Access)
A Modular framework for AI/ML applied to B5G V2X networks co-simulations
(Universidade Federal do Pará, 2023-03-10) BASTOS, Felipe Henrique Bastos e; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha; http://lattes.cnpq.br/1596629769697284
The use of AI/Ml is a key feature for the new generations of mobile communications as the actual generations are becoming more complex in order to provide a faster connection for a large number of users, but in general, it requires large datasets in order to produce high-quality AI/ML models. Due to the costs of collecting real measurements, especially in vehicular and aerial scenarios, this dissertation proposes a modular methodology that enables the combination of different simulators in order to produce realistic datasets for V2X and aerial cellular communications. The methodology also brings the possibility to train AI/ML models in-loop with the simulations. Furthermore, this dissertation details benchmarks for CPU and simulation time in different simulation scenarios and also the results of a use case showing the data that can be extracted from the combinations of the used simulators, where it is possible to observe that the use of parallel computing can reduce the simulation time by approximately five times.
Acesso aberto (Open Access)
Simulation of machine learning-based 6G systems in virtual worlds
(International Telecommunication Union, 2021) OLIVEIRA, Ailton Pinto de; NASCIMENTO, Arthur Matheus do; COSTA, Walter Tadeu Neves Frazão da; TRINDADE, Isabela Pamplona; BASTOS, Felipe Henrique Bastos e; GOMES, Diego de Azevedo; MÜLLER, Francisco Carlos Bentes Frey; KLAUTAU JÚNIOR, Aldebaro Barreto da Rocha
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 also benefit from their rich contextual information to improve performance and reduce communication overhead. This paper focuses on the simulation of 6G systems that rely on a 3D representation of the environment, as captured by cameras and other sensors. We present new strategies for obtaining paired MIMO channels and multimodal data. We also discuss trade-offs between speed and accuracy when generating channels via ray tracing. We finally provide beam selection simulation results to assess the proposed methodology.