论文标题
弹性光学网络的启发式混乱飓风高效分配
Heuristic Chaotic Hurricane-aided Efficient Power Assignment for Elastic Optical Networks
论文作者
论文摘要
在本文中，我们提出了基于进化飓风搜索优化（HSO）算法的弹性光网络（EON）的动力传输功率分配，其目的是提高逃离本地Optima的能力，即CHSO。目的是根据流量波动，通道障碍以及其他信道功率耦合效应引起的每个链路状态变化对传输的光功能的动态控制。这种现实的EON场景主要受通道估计不准确，通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（OPMS）获得的通道估计和传输质量（QOT）参数。数值结果证明了CHSO在使用不确定性和噪声的实际测量条件下动态减轻功率罚款的有效性，以及考虑光发射功率的扰动时。
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.
