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Adaptive Modulation and Code Strategy to Reduce Energy Consumption in Elastic Optical Network

机译:减少弹性光网络能耗的自适应调制和编码策略

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In this paper, the novel Adaptive Modulation and Code (AMC) algorithm aims to reduce energy consumption in elastic optical network is developed. The proposed AMC algorithm adaptively allocates both, the appropriate modulation and the forward error correction (FEC), according to the actual physical distance and the optical signal to noise ratio (OSNR) of the lightpath, respectively. The algorithm compares the previous energy consumption with the actual aiming to select the lowest. The obtained results have been compared with the case when shortest path (SP) and minimum hops (MH) algorithms are employed. Simulations outcomes highlight that energy consumption decreases when AMC algorithm is adopted in comparison with SP or MH ones. The energy consumption increases proportionally with the physical lightpath distance. Finally, the blocking probability decreases whereas AMC is utilized.
机译:本文提出了一种旨在减少弹性光网络能耗的新型自适应调制和编码(AMC)算法。提出的AMC算法分别根据实际的物理距离和光路的光信噪比(OSNR)自适应地分配适当的调制和前向纠错(FEC)。该算法将先前的能耗与实际能耗进行比较,以选择最低能耗。将获得的结果与采用最短路径(SP)和最小跳数(MH)算法的情况进行了比较。仿真结果表明,与SP或MH算法相比,采用AMC算法可降低能耗。能量消耗与物理光路距离成比例地增加。最后,使用AMC时,阻塞概率降低。

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