1 citations · 1 across the 3 of their papers we have counts for
5 papers
Microcell Hot Spot and Smart Antennas Evaluation in WCDMA Macrocell System
Carlos H. M. Lima, Francisco R. P. Cavalcanti, Vicente A. de Sousa +1
The purpose of this contribution is to analyze a hierarchical cell structure with a hot spot embedded in a WCDMA macrocellular system. Particular attention is paid to the impact of…
Deep Reinforcement Learning for QoS-Constrained Resource Allocation in Multiservice Networks
Juno V. Saraiva, Iran M. Braga, Victor F. Monteiro +4
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 t…
Adaptive Modulation and Coding based on Reinforcement Learning for 5G Networks
Mateus P. Mota, Daniel C. Araujo, Francisco Hugo Costa Neto +2
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…
Decoupling and Matching Strategies for Compact Antenna Arrays
F. Estevão S. Pereira, Josef A. Nossek, F. Rodrigo P. Cavalcanti
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 commun…
Vandermonde-subspace Frequency Division Multiplexing for Two-Tiered Cognitive Radio Networks
Leonardo S. Cardoso, Mari Kobayashi, Francisco Rodrigo P. Cavalcanti +1
Vandermonde-subspace frequency division multiplexing (VFDM) is an overlay spectrum sharing technique for cognitive radio. VFDM makes use of a precoder based on a Vandermonde struct…