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多芯光纤中时空频碎片感知的频谱分配算法

陈光明 任丹萍 邓玉静 胡劲华 赵继军

激光技术2025,Vol.49Issue(3):451-457,7.
激光技术2025,Vol.49Issue(3):451-457,7.DOI:10.7510/jgjs.issn.1001-3806.2025.03.020

多芯光纤中时空频碎片感知的频谱分配算法

Spectrum allocation algorithm based on temporal-spatio-frequency fragmentation perception in multi-core fiber

陈光明 1任丹萍 1邓玉静 2胡劲华 1赵继军1

作者信息

  • 1. 河北工程大学 信息与电气工程学院,邯郸 056038,中国||河北工程大学 河北省安防信息感知与处理重点实验室,邯郸 056038,中国
  • 2. 河北工程大学 信息与电气工程学院,邯郸 056038,中国
  • 折叠

摘要

Abstract

To effectively address the issue of spectrum fragmentation resulting from resource allocation in space division multiplexing elastic optical networks(SDM-EON)of multi-core fiber,a load resource synergy temporal-spatio-frequency(LRS-TSF)fragmentation perception algorithm was proposed.Firstly,a routing selection strategy was designed by considering the path load and service frequency slot requirements,prioritizing paths with lower path load and fewer service frequency slot demands.Then,a 3-D measurement of available spectrum resources was conducted from the perspective of time,space,and frequency,introducing a TSF fragmentation perception model to avoid spectrum fragmentation during the service allocation process and reserve contiguous idle spectrum resources for subsequent services.Simulation results demonstrate that when the load ranges from 400 Erlang to 960 Erlang,the LRS-TSF algorithm achieves better performance in terms of blocking probability,spectrum utilization,and fragmentation rate compared to other algorithms.The study provides a reference for further addressing the issue of spectrum fragmentation in elastic optical networks with spatial division multiplexing.

关键词

光通信/空分复用弹性光网络/时域空间域频域(时空频)碎片感知/频谱碎片/负载资源协同

Key words

optical communication/space division multiplexing elastic optical networks/temporal-spatio-frequency(TSF)fragmentation perception/spectrum fragmentation/load-resource synergy

分类

电子信息工程

引用本文复制引用

陈光明,任丹萍,邓玉静,胡劲华,赵继军..多芯光纤中时空频碎片感知的频谱分配算法[J].激光技术,2025,49(3):451-457,7.

基金项目

河北省科技计划资助项目(22567624H) (22567624H)

河北省研究生示范课建设项目(KCJSX2024081) (KCJSX2024081)

河北省自然科学基金资助项目(F2022402007) (F2022402007)

激光技术

OA北大核心

1001-3806

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