A novel channel-based model for the problem of routing, space, and spectrum assignment

A novel channel-based model for the problem of routing, space, and spectrum assignment
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DOI:
10.1016/j.osn.2021.100636
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发表时间:
2021-08-16
影响因子:
2.2
通讯作者:
Shigeno, Maiko
Shigeno, Maiko
中科院分区:
计算机科学3区
文献类型:
--
作者:
Wu, Qian;Wang, Jiading;Shigeno, Maiko

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空分复用(SDM)被认为是满足爆炸性增长的互联网流量的最有前途的技术之一。采用SDM的弹性光网络是未来网络规划的最新网络架构之一。然而,由于空间维度的扩展,这些网络中的资源分配问题变得更加复杂。在本文中,考虑到SDM-EON中的空间车道变化,我们提出了一种新颖的基于通道的整数线性规划(ILP)模型,用于解决路由、空间和频谱分配(RSSA)问题。为了评估我们的模型,我们通过模拟实验与基于时隙的模型[15]进行比较。我们的性能评估中考虑了不同的空间切换粒度,因为它们会极大地改变分配的详细结果。通过数值结果,我们发现我们的新模型在优化过程的计算时间上比之前的基于时隙的模型具有压倒性的优势。
Space-division multiplexing (SDM) is regarded as one of the most promising technologies to satisfy the explosively growing internet traffic. Elastic optical networks with SDM is one of the newest network architectures for network planning in the future. However, the resource allocation problem in these networks becomes more complicated due to the expansion of spatial dimensions. In this paper, we propose a novel channel-based integer linear programming (ILP) model for the problem of routing, space, and spectrum assignment (RSSA) in consideration of space lane change in SDM-EON. To evaluate our model, we make a comparison with the slotbased model [15] via simulation experiments. Different spatial switching granularities are considered in our performance evaluation because they will greatly change the detailed results of allocation. By the numerical results, we find that our novel model has an overwhelming advantage over the previous slot-based one in computing time for the optimization process.