智能弹性光网络中基于碎片化指数的频谱重构算法研究

Spectrum Defragmentation Algorithm based on Fragmentation Index in Intelligent Elastic Optical Network

【目的】智能弹性光网络作为一种新兴的光通信技术,为日益增长的电力通信需求提供了更高的带宽和灵活性。然而,由于不同通信请求的频谱需求大小和分布不均匀,可能会导致频谱资源在网络中出现碎片化的情况,并导致频谱资源的浪费和网络性能的降低。【方法】文章介绍了一种碎片化指数的评估方法,并以此为参考判断是否要对正在运行的业务进行频谱重构的操作。【结果】仿真实验结果表明,文章所提算法与传统算法相比,带宽阻塞率能够降低5%至30%不等,且业务量越大,带宽阻塞率降低越明显。【结论】文章所提算法综合考虑了单根光纤上频谱碎片所占比例和链路上业务的平均频隙,以及各时隙在每个纤芯的占用权重,从多维角度对网络的频隙占用情况做出评估,为后续资源分配提供了一个高效的优化方案。

【Objective】As a new optical communication technology,intelligent elastic optical network provides higher bandwidth and flexibility to meet the increasing demand of power communication.However,due to the uneven spectrum demand size and distribution of different communication requests,it may lead to fragmentation of spectrum resources in the network.These fragmented spectrum resources may result in the waste of spectrum resources and the degradation of network performance.【Methods】This paper introduces an evaluation method of fragmentation index,and takes it as a reference to judge whether to carry out spectrum defragmentation operations for running services.【Results】The simulation results show that compared with the traditional algorithm,the bandwidth blocking rate can be reduced by 5%to 30%.It is also shown that the the bandwidth blocking rate reduction is more obvious when the traffic volume is larger.【Conclusion】The algorithm proposed in this paper comprehensively considers the proportion of spectrum fragments on a single fiber,the average frequency gap of services on the link,and the occupation weight of each time slot in each fiber core.This paper also evaluates the frequency gap occupation of the network from a multidimensional perspective,providing an efficient optimization scheme for resource allocation.