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首页> 外文期刊>Optical Communications and Networking, IEEE/OSA Journal of >Distributed SNIR Optimization Based on the Verhulst Model in Optical Code Path Routed Networks With Physical Constraints
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Distributed SNIR Optimization Based on the Verhulst Model in Optical Code Path Routed Networks With Physical Constraints

机译:具有物理约束的光代码路径路由网络中基于Verhulst模型的分布式SNIR优化

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摘要

In this work, the performance of a distributed power control algorithm (DPCA), based on the Verhulst model for signal-to-noise plus interference ratio (SNIR) optimization in optical code path (OCP) routed networks, was investigated. These networks rest on 2-D codes (time/wavelength) to establish the OCP. The DPCA can be effectively implemented in each node because it uses only local parameters. The SNIR model considers multiple-access interference, amplified spontaneous emission at cascaded amplified spans, group velocity dispersion, and polarization mode dispersion. Numerical results have shown SNIR convergence at power penalties of 7.94 and 11.51 dB for 2.5 and 10 Gbps, respectively. These results could be utilized for adjustment of either the transmitted power to a transmitter node or the gain to dynamic intermediary amplifiers.
机译:在这项工作中,研究了基于Verhulst模型的分布式功率控制算法(DPCA)的性能,该模型用于在光代码路径(OCP)路由网络中优化信噪比和干扰比(SNIR)。这些网络基于二维码(时间/波长)来建立OCP。由于DPCA仅使用本地参数,因此可以在每个节点中有效地实现。 SNIR模型考虑了多址干扰,级联放大跨度下的放大自发发射,群速度色散和偏振模色散。数值结果表明,对于2.5 Gbps和10 Gbps,SNIR收敛分别在7.94和11.51 dB的功率损失下。这些结果可用于调整到发射机节点的发射功率或到动态中间放大器的增益。

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