研究目的
To present a new joint routing, wavelength, and power allocation method for optical network planning that maximizes the network achievable rate (AR) and minimum signal-to-noise ratio (SNR) margin of networks with partial spectrum utilization in their links.
研究成果
The proposed joint routing, wavelength, and power allocation algorithm, based on the EGN model, significantly improves the network achievable rate and minimum SNR margin for optical networks with partial spectrum utilization. The method's lower computational complexity makes it suitable for both static and dynamic network planning.
研究不足
The study focuses on networks with partial spectrum utilization and does not address fully utilized spectrum scenarios. The computational complexity, although reduced compared to MILP methods, still grows with the number of lightpaths, particularly for SNR margin optimization.
1：Experimental Design and Method Selection:
The study employs a gradient-based convex optimization approach for joint routing, wavelength, and power allocation in optical networks, utilizing the enhanced Gaussian noise (EGN) model to account for physical-layer impairments.
2：Sample Selection and Data Sources:
The methodology is applied to the Deutsche Telekom Germany (DTG) network, with simulations based on a generated traffic matrix.
3：List of Experimental Equipment and Materials:
The study assumes the use of coherent transmission systems with polarization multiplexed quadrature phase shift keying (PM-QPSK) and Gaussian modulation formats.
4：Experimental Procedures and Operational Workflow:
The algorithm involves sorting demands based on bit-rates, finding k shortest candidate paths for each lightpath, assigning wavelengths from the unoccupied channel vector (UCV), and optimizing power allocation to maximize network AR or minimum SNR margin.
5：Data Analysis Methods:
The performance is evaluated through numerical simulations, comparing the results of M-dimensional and flat power optimization in terms of network AR and minimum SNR margin improvements.
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