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

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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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The data used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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The authors did not receive any funds to support this research.

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J.J.L., V.S., R.M., S.R., M.H.A., and P.C. have directly participated in the analysis, planning, and execution of this work. All authors have read and approved the final version of the manuscript.

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Correspondence to Vimal Shanmuganathan or Moustafa H. Aly.

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Lawrence, J.J., Shanmuganathan, V., Manoharan, R. et al. Next generation WDM-radio over fiber passive optical network: deep neural network based performance analysis. Opt Quant Electron 55, 1269 (2023). https://doi.org/10.1007/s11082-023-05455-8

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