摘要
针对时分波分复用无源光网络(TWDM-PON)多个光线路终端(OLT)间资源缺乏协同集中调度问题,该文提出一种带有软件定义的基于带宽预测的资源分配策略(RABP)。在光线路终端间,设计粒子群优化的BP神经网络模型预测各光线路终端所需带宽,避免了控制器与光线路终端信息交互时延对资源分配实时性的影响;其次,在光线路终端内,动态设定滑动周期并基于光网络单元授权信息实时统计资源池共享带宽,同时,设计负载均衡的波长调度机制实现多波长的高效利用。仿真结果表明,该策略提高了信道资源利用率,降低了平均包时延。
Considering lacking of centralized and synergistic scheduling for time-slots and wavelength resources of the inter-TWDM-PONs, a novel Resource Allocation based on Bandwidth Prediction(RABP) strategy with software-defined centralized schedule is proposed. For intra-Optical Line Terminal(OLT), the BP neural network model based on Particle Swarm Optimization(PSO) algorithm is designed to predict the required bandwidth of each OLT in order to avoid the impact of delay between controller and OLT on real-time resource allocation. For inter-OLT, the slide cycle is dynamically set, and then the shared bandwidth of resource pool is counted in real-time according to the authorized information of optical network unit. In the process of wavelength scheduling, a wavelength scheduling mechanism with load balancing to achieve efficiently utilizing of wavelength resource is designed. The simulation results show that the proposed strategy not only effectively improves the utilization of channel resources, but also reducs the average packet delay.
作者
熊余
杨娅娅
张振振
蒋婧
XIONG Yu;YANG Yaya;ZHANG Zhenzhen;JIANG Jing(School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;Key Laboratory of Optical Communication and Network in Chongqing, Chongqing 400065, China;Key Laboratory of Ubiquitous Sensing and Networking in Chongqing, Chongqing 400065, China;Maintenance Branch Company, State Grid Chongqing Electric Power Company, Chongqing 400039, China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2019年第8期1885-1892,共8页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61401052)
国家留学基金委(201608500030)
重庆市教委科学技术研究资助项目(KJ1400418,KJ1500445)
重庆邮电大学博士启动基金(A2015-09)~~
关键词
软件定义网络
时分波分复用无源光网络
神经网络
带宽预测
资源分配
滑动周期
Software-Defined Network(SDN)
Time and Wavelength Division Multiplexed Passive Optical Network(TWDM-PON)
Neural network
Bandwidth prediction
Resource allocation
Slide cycle
