研究目的
Investigating the label stacking scenarios in GMPLS networks to understand the relationship between label distribution methods and network performance.
研究成果
The sequential wavelength distribution exhibits the best system performance in terms of LER. Equivalently spreading the labels over the WDM channels in the optical spectrum helps reduce the label number in a single channel, resulting in a lower noise variance. The LER of sequential wavelength distribution can be further improved by employing a high-intensity light source.
研究不足
The study focuses on the relationship between label distribution methods and network performance in terms of LER, but does not evaluate spectral efficiency or explore other codes for constructing hybrid labels.
1:Experimental Design and Method Selection:
The study proposes three label stacking models (sequential code distribution, sequential wavelength distribution, and random label distribution) to evaluate their impact on network performance.
2:Sample Selection and Data Sources:
Numerical simulations are performed to compare the effectiveness of the three labeling schemes.
3:List of Experimental Equipment and Materials:
Not explicitly mentioned.
4:Experimental Procedures and Operational Workflow:
The system performance is evaluated in terms of the label-error rate (LER) by analyzing the power spectral density (PSD) of the label distribution models.
5:Data Analysis Methods:
The LER is calculated based on noise sources such as thermal noise, shot noise, and phase-intensity-induced noise (PIIN).
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