Estudo e simulação computacional de superfícies refletoras inteligentes em sistemas 5G e além

Abstract

Intelligent reflective surfaces consist of emerging technologies for telecommunications networks beyond 5G. They are made of passive reflective elements, each of them are capable of inducting, independently, an amplitude and a phase change of the incident signal, allowing smart reconfiguration of the propagation environment. Intelligent reflection has one of its foundations being the appropriate determination of the reflection coefficients, which in practical implementations takes on discrete values, to potentialize performance indicators. However, the process to obtain optimized values results in high complexity issues bypassed by the implementation of artificial intelligence modules, with approaches that consist of reinforcement learning and genetic algorithms, which make it possible to obtain high quality solutions to set the ground for wireless communications systems of the next generations.