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01.12.2023

Next generation WDM-radio over fiber passive optical network: deep neural network based performance analysis

verfasst von: Jerart Julus Lawrence, Vimal Shanmuganathan, Rajesh Manoharan, Sitharthan Ramachandran, Moustafa H. Aly, Prasun Chakrabarti

Erschienen in: Optical and Quantum Electronics | Ausgabe 14/2023

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Abstract

This paper presents the performance of an Orthogonal Frequency Division Multiplexing (OFDM) system using intensity modulation with the modern equalizer in Wavelength–Division Multiplexing–Radio Over Fiber–Passive Optical Network (WDM–ROF–PON). The WDM–ROF–PON is considered for its high capacity and more extended optical reach, where the multiplexing and de-multiplexing are used at optical line terminal and optical network unit. First, the performance of the OFDM-based system with wired and wireless access is analyzed. We introduce an advanced equalizer namely, Deep Neural Network-Nonlinear Equalizer (DNN-NLE). The analysis is performed in the downlink by introducing a fiber Bragg grating and an equalizer with various fiber lengths. The system with DNN-NLE provides a better bit error rate of 10⁻⁹ and optical signal to noise ratio (OSNR) of 14.7 dB.

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Titel: Next generation WDM-radio over fiber passive optical network: deep neural network based performance analysis
verfasst von: Jerart Julus Lawrence
Vimal Shanmuganathan
Rajesh Manoharan
Sitharthan Ramachandran
Moustafa H. Aly
Prasun Chakrabarti
Publikationsdatum: 01.12.2023
Verlag: Springer US
Erschienen in: Optical and Quantum Electronics / Ausgabe 14/2023
Print ISSN: 0306-8919
Elektronische ISSN: 1572-817X
DOI: https://doi.org/10.1007/s11082-023-05455-8

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