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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

  • 摘要: 为了有效解决基于多芯光纤的空分复用弹性光网络中资源分配导致的频谱碎片问题,提出了一种负载资源协同的时域空间域频域(时空频)(LRS-TSF)碎片感知算法。首先结合路径负载情况和业务频隙需求设计路由选择策略,优先选择路径负载较小、业务频隙需求较少的路径; 然后从时空频3维角度对可用频谱资源进行碎片度量,采用时空频碎片感知模型,减少业务分配过程中频谱碎片的出现,并为后续业务预留连续空闲频谱资源。结果表明,当负载为400 Erlang~960 Erlang时,LRS-TSF碎片感知算法相较于其它算法,在阻塞率、频谱利用率和碎片率方面取得了更好的性能。该研究为进一步解决空分复用弹性光网中的频谱碎片问题提供了参考。

     

    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.

     

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