Fractional Sparrow Optimization- Light Sensor Positioning Enabled Semiconductor Optical Amplifier based Digital Signal Processing Model

An optimized Dense wavelength-division multiplexing (DWDM) optical network based on semiconductor optical amplifiers (SOAs) plans to improve its ability of signal transmission processing to eliminate the badly negative nonlinear effects caused by high-intensity optical signals. In current models, several issues exist which include nonlinearities, issues to do with optimal performance of SOA, and compatibility with the existing systems. Therefore to conquer those existing challenges in this research develop a new model optimized fractional sparrow optimization- Light Sensor Positioning based semiconductor optical amplifier-based digital signal processing method (FSO-LSP-SOA-DSP). In this research, a new model of optimized FSO is proposed along with the placement of light sensors in a semiconductor optical amplifier-based DSP technique. This new method is to change the signal quality in the DWDM system by efficiently using the FSO for fine-tuning the parameters and the harness of the light sensors placed strategically to capture and process the signals effectively. The proposed model includes optimization of the position of the light sensor and FSO which helps to provide a fuller solution to the problems associated with the non-linearities and signal fading in the optical communication system. The results show that the models have low error rates of 1.19, 3.16, 0.5557, 0.26, 56170.00, and 1.167 during a number of channels (NOC) 50 for bit error rate (BER), error vector magnitude (EVM), generalized mutual information (GMI), mutual information (MI), symbol error rate (SER), and signal to noise ratio (SNR) during CH analysis.

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Published
2024-10-23
DOI
https://doi.org/10.1109/icssas64001.2024.10760699
Primary Topic
Optical Wireless Communication Technologies
Type
article
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article

Fractional Sparrow Optimization- Light Sensor Positioning Enabled Semiconductor Optical Amplifier based Digital Signal Processing Model

K. Deepa, Ashish Singh, K. N.
Optical Wireless Communication Technologies
article

Fractional Sparrow Optimization- Light Sensor Positioning Enabled Semiconductor Optical Amplifier based Digital Signal Processing Model

K. Deepa, Ashish Singh, K. N.
article en

Abstract

An optimized Dense wavelength-division multiplexing (DWDM) optical network based on semiconductor optical amplifiers (SOAs) plans to improve its ability of signal transmission processing to eliminate the badly negative nonlinear effects caused by high-intensity optical signals. In current models, several issues exist which include nonlinearities, issues to do with optimal performance of SOA, and compatibility with the existing systems. Therefore to conquer those existing challenges in this research develop a new model optimized fractional sparrow optimization- Light Sensor Positioning based semiconductor optical amplifier-based digital signal processing method (FSO-LSP-SOA-DSP). In this research, a new model of optimized FSO is proposed along with the placement of light sensors in a semiconductor optical amplifier-based DSP technique. This new method is to change the signal quality in the DWDM system by efficiently using the FSO for fine-tuning the parameters and the harness of the light sensors placed strategically to capture and process the signals effectively. The proposed model includes optimization of the position of the light sensor and FSO which helps to provide a fuller solution to the problems associated with the non-linearities and signal fading in the optical communication system. The results show that the models have low error rates of 1.19, 3.16, 0.5557, 0.26, 56170.00, and 1.167 during a number of channels (NOC) 50 for bit error rate (BER), error vector magnitude (EVM), generalized mutual information (GMI), mutual information (MI), symbol error rate (SER), and signal to noise ratio (SNR) during CH analysis.

Yenepoya University (IN)
Affordable and clean energy
Openalex Percentile: Top 76%
Optical Wireless Communication Technologies
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