考虑频谱利用率的无源光网络多业务带宽动态分配方法  

Dynamic bandwidth allocation method for multiple services in passive optical networks considering spectrum utilization

作　　者：卢宇亭 张乃平 高险峰 李东昆 LU Yuting;ZHANG Naiping;GAO Xianfeng;LI Dongkun(Central China branch of State Grid Corporation of China,WuHan 430077,China)

机构地区：[1]国家电网有限公司华中分部,武汉430077

出　　处：《自动化与仪器仪表》2023年第7期55-59,共5页Automation & Instrumentation

基　　金：国网华中分部华中电力调控分中心通信管理系统实用化功能大修项目研究(编号:22调控修-06)。

摘　　要：随着越来越多的终端节点接入无源光网络,产生的业务量也随之增多,仅有的带宽资源逐渐无法满足业务处理要求。为了提高带宽资源利用率,提高无源光网络的通信性能,提出一种考虑频谱利用率的无源光网络多业务带宽动态分配方法。在该研究中具体描述了带宽分配问题,将频谱利用率考虑其中,结合带宽利用率,组成多目标函数,在6条约束条件下,利用改进灰狼算法求取多目标函数最优解,得出带宽动态分配方案。结果表明:相比对照方法,所研究方法求取的带宽动态分配方案应用下,综合效益指数(0.92)、带宽利用率(0.84%)以及频谱利用率(0.78%)达到最高值,说明所提方法能够有效提高带宽利用与分配效率。With more and more terminal nodes accessing the passive optical network,the traffic generated will also increase,and the only bandwidth resources will gradually fail to meet the business processing requirements.In order to improve the utilization of bandwidth resources and improve the communication performance of passive optical networks,,a dynamic bandwidth allocation method for multiple services in passive optical networks considering spectrum utilization is proposed.In this study,the bandwidth allocation problem is described in detail.The spectrum utilization is considered,and the bandwidth utilization is combined to form a multi-objective function.Under six constraints,the improved gray wolf algorithm is used to obtain the optimal solution of the multi-objective function,and the dynamic bandwidth allocation scheme is obtained.The results show that:compared with contrast methods,the comprehensive benefit index(0.92),bandwidth utilization rate(0.84%)and spectrum utilization rate(0.78%)reach the highest value under the application of the dynamic bandwidth allocation scheme obtained by the research method.It shows that the proposed method can effectively improve the efficiency of bandwidth utilization and allocation.

关 键 词：频谱利用率 无源光网络 带宽 改进灰狼算法 动态分配方法 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置] TP254.33[自动化与计算机技术—控制科学与工程]