DocumentCode
19334
Title
Adapting Transmitter Power and Modulation Format to Improve Optical Network Performance Utilizing the Gaussian Noise Model of Nonlinear Impairments
Author
Ives, David J. ; Bayvel, Polina ; Savory, Seb J.
Author_Institution
Dept. of Electron. & Electr. Eng., Univ. Coll. London, London, UK
Volume
32
Issue
21
fYear
2014
fDate
Nov.1, 1 2014
Firstpage
4087
Lastpage
4096
Abstract
This paper serves to highlight the gains in SNR margin and/or data capacity that can be achieved through a proper optimization of the transceiver parameters, for example, launch power, modulation format, and channel allocation. A simple quality of transmission estimator is described that allows a rapid estimation of the signal quality based on ASE noise and nonlinear interference utilizing the Gaussian noise model. The quality of transmission estimator was used to optimize the SNR and maximise the data throughput of transmission signals in a point-to-point link by adjusting the launch power and modulation format. In a three-node network, the launch power and channel allocation were adjusted to minimise the overall effect of nonlinear interference. This paper goes on to show that by optimizing the transceiver modulation format as part of the channel allocation and routing problem gains in network data throughput can be achieved for the 14-node NSF mesh network.
Keywords
Gaussian noise; channel allocation; estimation theory; light interference; light transmission; optical fibre networks; optical modulation; optical transceivers; optimisation; telecommunication network routing; 14-node NSF mesh network; ASE noise; Gaussian noise model; SNR; channel allocation; data capacity; modulation format; nonlinear impairment; nonlinear interference; optical network; optimization; point-to-point link; routing problem; signal quality timation; three-node network; transceiver parameter; transmission estimation; transmitter power adaptation; Channel allocation; Interference; Modulation; Optical transmitters; Optimization; Signal to noise ratio; Adaptive modulation; Gaussian noise model; network optimization; nonlinear capacity; optical fiber communications;
fLanguage
English
Journal_Title
Lightwave Technology, Journal of
Publisher
ieee
ISSN
0733-8724
Type
jour
DOI
10.1109/JLT.2014.2346582
Filename
6874486
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