启发式混沌飓风辅助的弹性光网络有效功率分配
Heuristic Chaotic Hurricane-aided Efficient Power Assignment for Elastic Optical Networks
摘要：
提出了一种基于混沌Logistic映射多样化策略的进化飓风搜索优化算法（HSO）的弹性光网络（EONs）动态传输功率分配算法，即CHSO。目标是根据由于业务波动、信道损伤以及其他信道功率耦合效应引起的每个链路状态变化来动态控制所发送的光功率。这种现实的EON场景主要受到信道估计不准确、信道老化和功率波动的影响。链路状态基于从光学性能监视器（OPM）获得的信道估计和传输质量（QoT）参数。数值结果表明，CHSO的有效性，以动态地减轻在真实的测量条件下的不确定性和噪声的功率惩罚，以及当在光发射功率的扰动被认为是。
英文摘要：
In this paper we propose a dynamical transmission power allocation for elastic optical networks (EONs) based on the evolutionary hurricane search optimization (HSO) algorithm with a chaotic logistic map diversification strategy with the purpose of improving the capability to escape from local optima, namely CHSO. The aiming is the dynamical control of the transmitted optical powers according to the each link state variations due to traffic fluctuations, channel impairments, as well as other channel-power coupling effects. Such realistic EON scenarios are affected mainly by the channel estimation inaccuracy, channel ageing and power fluctuations. The link state is based on the channel estimation and quality of transmission (QoT) parameters obtained from the optical performance monitors (OPMs). Numerical results have demonstrated the effectiveness of the CHSO to dynamically mitigate the power penalty under real measurements conditions with uncertainties and noise, as well as when perturbations in the optical transmit powers are considered.
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