DocumentCode :
552302
Title :
Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems
Author :
Shen, Thomas Shun Rong ; Lau, Alan Pak Tao
Author_Institution :
Photonics Res. Center, Hong Kong Polytech. Univ., Hong Kong, China
fYear :
2011
fDate :
4-8 July 2011
Firstpage :
816
Lastpage :
817
Abstract :
Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.
Keywords :
backpropagation; computational complexity; light coherence; nonlinear optics; optical fibre communication; telecommunication computing; DSP-based coherent communication systems; coherent optical communication systems; computation complexity; extreme learning machine; fiber nonlinearity compensation; Machine learning; Optical fiber dispersion; Optical fiber networks; Optical fiber polarization; Q factor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Opto-Electronics and Communications Conference (OECC), 2011 16th
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-288-2
Electronic_ISBN :
978-986-02-8974-9
Type :
conf
Filename :
6015387
Link To Document :
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