摘要
以提升光网络通信质量为目的,研究基于串扰感知及时的光网络频谱动态分配方法,提升频谱动态分配效果。通过计算光网络串扰值,建立以最小芯间串扰为目标函数,芯间串扰产生条件约束,以及芯间串扰阈值约束等为约束条件的光网络频谱动态分配模型;在量子遗传算法内,引入混沌优化算法,得到改进量子遗传算法,避免算法陷入局部最优解;利用改进量子遗传算法,求解频谱动态分配模型,得到最小芯间串扰的光网络频谱动态分配方案。实验证明:不同光网络类型下,该方法均可有效完成光网络频谱动态分配,降低光网络的芯间串扰值,在不同网络负载时,本方法的光网络带宽阻塞率低0.17,频谱利用率超过了0.13。
For the purpose of improving the quality of optical network communication,the paper studies the dynamic spectrum allocation method based on crosstalk perception in time to improve the dynamic spectrum allocation effect.By calculating the crosstalk value of the optical network,a dynamic spectrum allocation model of the optical network is established with the minimum crosstalk as the objective function,the inter-core crosstalk generation condition constraint,and the inter-core crosstalk threshold constraint as the constraint conditions;In quantum genetic algorithm,chaos optimization algorithm is introduced to obtain improved quantum genetic algorithm to avoid falling into local optimal solution;The improved quantum genetic algorithm is used to solve the dynamic spectrum allocation model,and the dynamic spectrum allocation scheme of optical network with minimum inter-core crosstalk is obtained.The experiment shows that this method can effectively complete the dynamic allocation of optical network spectrum and reduce the inter-core crosstalk of optical network under different optical network types.Under different network loads,the optical network bandwidth blocking rate of this method is 0.17 lower,and the spectrum utilization rate exceeds 0.13.
作者
李晓嵘
LI Xiaorong(Education Information Technology Center,Jiangxi University of Science and Technology,Ganzhou Jiangxi 341000,China)
出处
《激光杂志》
CAS
北大核心
2024年第2期187-191,共5页
Laser Journal
基金
江西省教育厅科学技术研究项目(No.GJJ209931)。
关键词
串扰感知技术
光网络
频谱动态分配
频隙号
遗传算法
混沌优化算法
crosstalk sensing technology
optical network
dynamic spectrum allocation
frequency slot number
genetic algorithm
chaotic optimization algorithm