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pro vyhledávání: '"Pedro Maia De Santana"'
Autor:
Juliano J. Bazzo, Thiago A. Scher, Alvaro Augusto Machado de Medeiros, Pedro Maia de Santana, Vicente A. de Sousa
Publikováno v:
International Journal of Interdisciplinary Telecommunications and Networking. 13:42-50
Machine learning techniques applied to radio frequency (RF) signals are used for many applications in addition to data communication. In this paper, the authors propose a machine learning solution for classifying the number of people within an indoor
Autor:
Pedro Maia de Santana, Millena Michely de Medeiros Campos, Vicente A. de Sousa, Alvaro Augusto Machado de Medeiros, Tarciana Cabral de Brito Guerra, Mateus de Oliveira Mattos
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 18:2321-2324
In this letter, we propose a machine learning solution for crowd-size classification in an indoor environment. Narrow-band radio frequency signals are used to identify a pattern according to the number of people. Experimental data collected by a low-
Autor:
Vicente A. de Sousa, Jose Martins de Castro Neto, Pedro Maia de Santana, Fuad Mousse Abinader
Publikováno v:
Telecommunication Systems. 71:615-626
Recent literature demonstrated promising results of Long-Term Evolution (LTE) deployments over unlicensed bands when coexisting with Wi-Fi networks via the Duty-Cycle (DC) approach. However, it is known that performance in coexistence is strongly dep
Autor:
Pedro Maia de Santana, Fuad Mousse Abinader, Jose Martins de Castro Neto, Vicente A. de Sousa
Publikováno v:
Journal of Communication and Information Systems. 34:169-177
There is substantial literature covering both problems and solutions related to the operation of Long Term Evolution (LTE) networks in unlicensed spectrum (LTE-U) while in coexistence with other technologies, such as Wi-Fi. However, a seldom explored
Publikováno v:
Sensors
Volume 20
Issue 7
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 1855, p 1855 (2020)
Volume 20
Issue 7
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 1855, p 1855 (2020)
Cellular broadband Internet of Things (IoT) applications are expected to keep growing year-by-year, generating demands from high throughput services. Since some of these applications are deployed over licensed mobile networks, as long term evolution
Publikováno v:
2017 International Conference on Computational Science and Computational Intelligence (CSCI).
As the frequency spectrum becomes more and more occupied, discussions about technologies sharing the same band grow stronger. However, there are frequency bands reserved for the use of industrial, scientific, and medical applications, the so called I
Publikováno v:
2016 International Conference on Computational Science and Computational Intelligence (CSCI).
3GPP has been working in establishing a new network infrastructure based on unlicensed spectrum known as LTE Secondary Cell (SCell) in a carrier aggregation scenario in which LTE user terminals would still be anchored to an LTE Primary Cell (PCell) o