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The RBCMLSA problem on space division multiplexing elastic optical networks

机译:空分复用弹性光网络的RBCMLSA问题

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The introduction of space division multiplexing (SDM) is a promising solution to cope with ever-increasing Internet traffic. Multi-core fibers (MCFs) are a potential solution for the capacity crunch problem. In this article, the Routing, Baud rate, forward error correction (FEC) Coding, Modulation Level, and Spectrum Assignment (RBCMLSA) problem in elastic optical networks (EONs) employing MCFs and SDM is studied. An Integer Linear Program (ILP) model is used to define the studied problem and find the optimum solution in static traffic. Since the RBCMLSA problem is an NP-hard problem, for the dynamic traffic, the crosstalk-aware path routing algorithm (CAPRA) is proposed to solve this problem. Three core-selecting schemes, named Minimum Load (ML), Minimum Conflict (MC), and Minimum Weight (MW) are proposed. Simulation results show that the proposed algorithm can get lower blocking probability when compared to the algorithm for the existing simpler Routing, FEC Coding, Modulation Level, and Spectrum Assignment (RCMLSA) and Routing, Modulation Level, and Spectrum Assignment (RMLSA) problems.
机译:空分复用(SDM)的引入是应付不断增长的Internet流量的有希望的解决方案。多芯光纤(MCF)是解决容量不足问题的潜在解决方案。在本文中,研究了使用MCF和SDM的弹性光网络(EON)中的路由,波特率,前向纠错(FEC)编码,调制级别和​​频谱分配(RBCMLSA)问题。整数线性规划(ILP)模型用于定义研究的问题并找到静态交通中的最佳解决方案。由于RBCMLSA问题是NP难题,因此对于动态流量,提出了可感知串扰的路径路由算法(CAPRA)来解决此问题。提出了三种核心选择方案,分别是最小负载(ML),最小冲突(MC)和最小重量(MW)。仿真结果表明,与现有的较简单的路由,FEC编码,调制级和频谱分配(RCMLSA)以及路由,调制级和频谱分配(RMLSA)问题相比,该算法的阻塞概率更低。

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