Layhon R. R. dos Santos,1
Fábio R. Durand,1
Alessandro Goedtel,1
and Taufik Abrão2
1L. R. R. dos Santos, F. R. Durand, and A. Goadtel are with Federal Technological University of Paraná (UTFPR), Electrical Engineering Department, Av. Alberto Carazzai, 1640, Centro, 86.300-000 Cornélio Procópio, PR, Brazil.
2T. Abrão (e-mail: taufik@uel.br) is with State University of Londrina (UEL), Electrical Engineering Department, Rodovia Celso Garcia Cid, Km 380, s/n, 86057-970 Londrina, PR, Brazil.
Layhon R. R. dos Santos, Fábio R. Durand, Alessandro Goedtel, and Taufik Abrão, "Auto-Tuning PID Distributed Power Control for Next-Generation Passive Optical Networks," J. Opt. Commun. Netw. 10, D110-D125 (2018)
This work proposes an adaptive auto-tuning distributed power control
strategy aided by proportional-integral-derivative (PID) and by
Adaline artificial neural network (AANN) approaches. The power control
mechanism is realized for the upstream of next-generation passive
optical networks (NG-PON), primarily deployed in the context of
optical code division multiplexing access passive networks. The
primary results demonstrate the ability of control and adaptive
auto-tuning of the proposed AANN-based DPCA, considering realistic
error estimates in the optical channel. For the sake of comparison, an
adaptive auto-tuning procedure through the Tyreus–Lyuben method
is included, indicating superior Euclidean norm of the NMSE
performance combined with the lower complexity of the proposed
NN-based DPCA method.
N. Merayo, D. Juárez, Juan C. Aguado, I. de Miguel, R. J. Durán, P. Fernández, R. M. Lorenzo, and E. J. Abril J. Opt. Commun. Netw. 9(5) 433-445 (2017)
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