DOI 10.14209/sbrt.2021.1570734205
David Alan de Oliveira Ferreira, Celso Barbosa Carvalho
To locate mobile devices on wireless networks, you can install three or more fixed devices, whose transmitted signals are used as location parameters. The problem with this approach is the increase in energy and monetary costs. Thus, in this article a location method using a single transmitter with multiple antennas is proposed. In this work, static...
localizationkNN regressionquartilesPCA
DOI 10.14209/sbrt.2021.1570734210
Rebecca Almeida Aben-Athar, Carnot Braun, Ingrid Nascimento, João Paulo T Borges, Aldebaro Klautau
Applications of Reinforcement Learning (RL) are increasingly relevant in the context of future networks. However, although there is a great availability of environments for other re- search areas such as computer vision, there is a lack of good ones for telecommunication purposes. This paper proposes a beam- selection mini-grid type of environment...
Reinforcement learning5G6GBeam-selection
DOI 10.14209/sbrt.2021.1570734220
Micael Andrade Dias, Francisco M. de Assis
Here we report the performance of a discrete modulated CVQKD protocol based on eight and sixteen state optimal APK constellations with pure loss quantum channel transmission. Our constellations use the same amplitudes and state probability as in an optimal four-state unidimensional constellation model and applies amplitude/phase modulation on the...
CVQKDDiscrete ModulationConstellation Shaping