Volume No. :   8

Issue No. :  2

Year :  2017

ISSN Print :  0976-2973

ISSN Online :  2321-581X


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Application of Artificial Neural Networks for Optimal Design of OADM for DWDM applications



Address:   Parveen Bajaj1*, A.K. Goel2, Harbhajan Singh3
1Department of Electronics & Communication Engineering, IKGPTU, Jalandhar, Punjab, India
2 Department of Electronics & Communication Engineering, Maharaja Ranjit Singh State Technical University, Bathinda, Punjab, India
3 Department of Electronics & Communication Engineering, SSIET, Derabassi, Mohali, Punjab, India,
*Corresponding Author
DOI No: 10.5958/2321-581X.2017.00022.8

ABSTRACT:
For greater flexibility and connectivity, optical add/drop multiplexers (OADMs) with wavelength routing devices and switches play a crucial role in DWDM optical networks. OADM can act as access node (AN) in any DWDM network. They can add or drop signals as per our requirement. A DWDM system is modeled using different number of channels, data rates and spacing between channels in terms of bit error rate (BER), optical signal to noise ratio (OSNR), Jitter and Dispersion. These parameters are then optimized and classification of signals analyzed by using Artificial Neural Networks. Comparison was performed between FBG/OADM and OFDM in respect of transmitted and received signal powers.
KEYWORDS:
Optical Add/Drop Multiplexer, Dense Wavelength Division Multiplexing, Feed Forward Artificial Neural Network.
Cite:
Parveen Bajaj, A.K. Goel, Harbhajan Singh. Application of Artificial Neural Networks for Optimal Design of OADM for DWDM applications. Research J. Engineering and Tech. 2017; 8(2): 138-148.
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