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面向卫星互联网的弹性光网络动态路由和频谱分配算法研究(特邀)

Dynamic Routing and Spectrum Allocation Algorithms in Elastic Optical Networks for Satellite Internet(Invited)
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摘要 卫星弹性光网络(SEON)具有容量大、抗干扰能力强和资源管控灵活等优点,是卫星互联网重要的发展方向。路由和频谱分配(RSA)问题是SEON的核心关键问题之一,针对SEON中的RSA问题,提出了一种基于路径状态感知的动态路由和频谱分配算法(PIV-SSA),PIV-SSA算法由分段频谱分配(SSA)算法和基于路径影响值的路由选择(PIV)算法组成,在SSA算法中,根据业务所需要的传输速率来分配不同位置的频谱资源,在PIV算法中,基于SSA算法预分配频谱结果,综合考虑频谱资源消耗、链路频谱状态和路径存活时间等因素来选择最佳传输路径。仿真实验结果表明,在不同负载强度下,相较于经典的KSP-FF算法,PIV-SSA算法在网络阻塞率上平均降低了4.60%以及在网络频谱利用率上平均提高了4.78%。 Satellite Elastic Optical Network(SEON)is an important development direction of satellite Internet with the advantages of large capacity,strong anti-interference ability and flexible resource management and control.The routing and spectrum allocation(RSA)problem is a critical issue in SEON.To solve the RSA problem in SEON,a dynamic routing and spectrum allocation algorithm based on the path state-aware(PIV-SSA)is proposed.The PIV-SSA consists of a segmented spectrum allocation(SSA)algorithm and a path influence value routing selection(PIV)algorithm.In the SSA,the location of the spectrum resources allocated to the services are determined by the transmission rate it requires.In the PIV,the optimal transmission path is selected by comprehensively considering factors such as spectrum resource consumption,link spectrum status,and path survival time based on the pre-allocation results of the SSA algorithm.The results of the simulation experiments show that,compared to the classical KSP-FF algorithm,the PIV-SSA algorithm reduces the network blocking rate by an average of 4.60%and achieves an average improvement of 4.78%in network spectrum utilization under different load intensities.
作者 李海 李勇军 刘元皓 李信 李玉 赵尚弘 Li Hai;Li Yongjun;Liu Yuanhao;Li Xing;Li Yu;Zhao Shanghong(College of Information and Navigation,Air Force Engineering University,Xi’an 710077,Shaanxi,China)
出处 《激光与光电子学进展》 CSCD 北大核心 2024年第7期68-75,共8页 Laser & Optoelectronics Progress
关键词 卫星互联网 卫星弹性光网络 路由和频谱分配 分段频谱分配 路径影响值 satellite internet satellite elastic optical network routing and spectrum allocation segmented spectrum allocation path influence value
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