Fiber nonlinearity-induced penalty reduction in CO-OFDM by ANN-based nonlinear equalization

被引:72
作者
Giacoumidis, Elias [1 ]
Le, Son T. [2 ]
Ghanbarisabagh, Mohammad [3 ]
McCarthy, Mary [2 ]
Aldaya, Ivan [4 ]
Mhatli, Sofien [5 ]
Jarajreh, Mutsam A. [6 ]
Haigh, Paul A. [7 ]
Doran, Nick J. [2 ]
Ellis, Andrew D. [2 ]
Eggleton, Benjamin J. [1 ]
机构
[1] Univ Sydney, IPOS, Sch Phys, ARC Ctr Excellence Ultrahigh Bandwidth Devices Op, Sydney, NSW 2006, Australia
[2] Aston Univ, AIPT, Birmingham B4 7ET, W Midlands, England
[3] Islamic Azad Univ, Fac Engn, North Tehran Branch, Tehran, Iran
[4] Inst Tecnol & Estudios Super Monterrey, Dept Elect & Computat Engn, Monterrey 64800, Mexico
[5] EPT Univ Carthage, SERCOM Lab, Tunis 2078, Tunisia
[6] Fahad Bin Sultan Univ, Sch Comp, Dept Engn, Tabuk, Saudi Arabia
[7] Univ Bristol, Fac Engn, HPN Grp, Bristol BS8 1UB, Avon, England
基金
英国工程与自然科学研究理事会;
关键词
TRANSMISSION; LIMIT;
D O I
10.1364/OL.40.005113
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We experimentally demonstrate similar to 2 dB quality (Q)-factor enhancement in terms of fiber nonlinearity compensation of 40 Gb/s 16 quadrature amplitude modulation coherent optical orthogonal frequency-division multiplexing at 2000 km, using a nonlinear equalizer (NLE) based on artificial neural networks (ANN). Nonlinearity alleviation depends on escalation of the ANN training overhead and the signal bit rate, reporting similar to 4 dB Q-factor enhancement at 70 Gb/s, whereas a reduction of the number of ANN neurons annihilates the NLE performance. An enhanced performance by up to similar to 2 dB in Q-factor compared to the inverse Volterra-series transfer function NLE leads to a breakthrough in the efficiency of ANN. (C) 2015 Optical Society of America
引用
收藏
页码:5113 / 5116
页数:4
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