Výsledky vyhledávání - "Cavalcanti, F. Rodrigo P."

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Deep Reinforcement Learning for QoS-Constrained Resource Allocation in Multiservice Networks

Autor: Saraiva, Juno V., Braga Jr., Iran M., Monteiro, Victor F., Lima, F. Rafael M., Maciel, Tarcisio F., Freitas Jr., Walter C., Cavalcanti, F. Rodrigo P.

In this article, we study a Radio Resource Allocation (RRA) that was formulated as a non-convex optimization problem whose main aim is to maximize the spectral efficiency subject to satisfaction guarantees in multiservice wireless systems. This probl

Externí odkaz: http://arxiv.org/abs/2003.02643

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Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks

Autor: Mota, Mateus P., Araujo, Daniel C., Neto, Francisco Hugo Costa, de Almeida, Andre L. F., Cavalcanti, F. Rodrigo P.

We design a self-exploratory reinforcement learning (RL) framework, based on the Q-learning algorithm, that enables the base station (BS) to choose a suitable modulation and coding scheme (MCS) that maximizes the spectral efficiency while maintaining

Externí odkaz: http://arxiv.org/abs/1912.04030

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Decoupling and Matching Strategies for Compact Antenna Arrays

Autor: Pereira, F. Estevão S., Nossek, Josef A., Cavalcanti, F. Rodrigo P.

Antenna arrays have been used in various applications and have become an important tool to achieve high spectral efficiency in wireless communications. Its use brings to the communications system an increase in performance in terms of capacity and re

Externí odkaz: http://arxiv.org/abs/1909.04737

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