Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10344001 | Optical Fiber Technology | 2014 | 7 Pages |
Abstract
A novel and cost-effective technique for simultaneous bit-rate and modulation format identification (BR-MFI) in next-generation heterogeneous optical networks is proposed. This technique utilizes an artificial neural network (ANN) in conjunction with asynchronous delay-tap plots (ADTPs) to enable low-cost joint BR-MFI at the receivers as well as at the intermediate network nodes without requiring any prior information from the transmitters. The results of numerical simulations demonstrate successful identification of several commonly-used bit-rates and modulation formats with estimation accuracies in excess of 99.7%. The effectiveness of proposed technique under different channel conditions i.e. optical signal-to-noise ratio (OSNR) in the range of 14-28Â dB, chromatic dispersion (CD) in the range of â500 to 500Â ps/nm and differential group delay (DGD) in the range of 0-10Â ps, is investigated and it has been shown that the proposed technique is robust against all these impairments.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Faisal Nadeem Khan, Yudi Zhou, Qi Sui, Alan Pak Tao Lau,