Fragmentation-aware spectrum assignment strategies for elastic optical networks with static operation

J. Cedeño, A. Lozada, R. Olivares, N. Jara
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Abstract

One of the main problems in the design of elastic optical networks is the Routing, Modulation-Level, and Spectrum Assignment problem (RMLSA). In this work, we propose new strategies to solve the spectrum assignment (SA) sub-problem for EONs architectures with static network operation. To this end, we developed two new approaches called Sliding-Fit (SF) and Parcel-Fit (PF), focused on minimizing the spectrum fragmentation obtained when attending network demands. These strategies change to standard paradigm use to search an amount of consecutive FSUs for a given user by choosing a subset of FSUs in the frequency spectrum and later finding users for the selected FSUs. Additionally, the method relies on a physical-later impairment (PLI) model to compute the maximum optical reach and bandwidth demands based on the modulation level - bitrate pair.Experimental results showed that the proposed algorithms obtain less spectrum fragmentation than the best found in the literature, allowing to assign a higher number of users, decreasing the network capacity or increasing the efficiency in the use of resources.
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静态运行弹性光网络的碎片感知频谱分配策略
弹性光网络设计中的一个主要问题是路由、调制和频谱分配问题(RMLSA)。在这项工作中,我们提出了新的策略来解决具有静态网络运行的eon架构的频谱分配子问题。为此,我们开发了两种新方法,称为滑动-契合(SF)和包裹-契合(PF),重点是在满足网络需求时最大限度地减少频谱碎片。这些策略转变为标准范例,通过在频谱中选择fsu的子集,然后为选定的fsu找到用户,为给定用户搜索连续的fsu数量。此外,该方法依赖于物理后期损伤(PLI)模型来计算基于调制电平-比特率对的最大光到达和带宽需求。实验结果表明,本文提出的算法比文献中最好的算法获得更少的频谱碎片,允许分配更多的用户数量,减少网络容量或提高资源利用效率。
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