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Multi-dimensional resource assignment in spatial division multiplexing enabled elastic optical networks with multi-core fibers

机译:具有多芯光纤的空分复用使能弹性光网络中的多维资源分配

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In this paper, the problem of routing, core, and spectrum assignment (RCSA) for advance reservation (AR) and immediate reservation (IR) requests is studied in spatial division multiplexing enabled elastic optical networks (SDM-EONs) with multi-core fibers (MCFs). As lightpaths are set up and torn down, fragmentations may occur in both spectrum and time dimensions in SDM-EONs. To measure these fragmentations, we design a metric, named multi-dimensional resource compactness (MRC). Based on MRC, two RCSA algorithms are proposed, first-fit resource assignment algorithm based on MRC (FF-MRC) and random-fit resource assignment algorithm based on MRC (RF-MRC). Simulation results show that both FF-MRC and RF-MRC can achieve beer performance than the baseline algorithm in terms of blocking probability and spectrum utilization, with FF-MRC providing the best performance.
机译:在本文中,研究了在具有多芯光纤的空分多路复用弹性光网络(SDM-EON)中对提前预留(AR)和立即预留(IR)请求进行路由,核心和频谱分配(RCSA)的问题(MCF)。随着光路的建立和拆除,SDM-EON中的频谱和时间维度都可能出现碎片。为了测量这些碎片,我们设计了一个度量标准,称为多维资源紧凑度(MRC)。提出了两种基于MRC的RCSA算法:基于MRC的优先拟合资源分配算法(FF-MRC)和基于MRC的随机拟合资源分配算法(RF-MRC)。仿真结果表明,在阻塞概率和频谱利用率方面,FF-MRC和RF-MRC均可达到比基线算法更高的啤酒性能,其中FF-MRC提供了最佳性能。

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