In elastic optical networks (EONs) employing weakly coupled single-mode multi-core fibers (MCFs), inter-core crosstalk (XT) can affect significantly the network performance, particularly when the number of cores and the path length increase. Hence, from the network perspective, the impairment-aware routing, spectrum and core assignment (IA-RSCA) problem is the most important concern of MCF-EONs. In this paper, we propose a XT-aware greedy algorithm to minimize the XT impact on the MCF-EONs performance. To achieve the XT impact minimization, we decompose the IA-RSCA problem into two sub-problems: the IA routing sub-problem and the IA spectrum and core assignment (IA-SCA) sub-problem. For the routing solution, a pre-computation method based on the k-shortest path is used, and a physical layer impairment verification phase is performed taking the required optical signal to noise ratio into account. For the IA-SCA sub-problem, the novel XT-aware greedy algorithm is used to minimize the XT impact on the MCF-EONs performance as follows: for each new connection, the level of detected XT power of the new connection and interfering connections relative to the XT power threshold of each connection is minimized on the average over all those connections. This minimization is achieved by choosing the core and frequency slot of the new connection. In order to take the spectral overlapping extension of the new and interfering connections into account in the detected XT power, a novel frequency slot overlapping index is introduced. The performance of the proposed algorithm is evaluated through computer simulations. The results show that the total blocking probability and network average utilization achieved by the proposed algorithm are better than the ones obtained by core prioritization, random and first-fit strategies, for different scenarios of XT level and spectrum fragmentation.

在采用弱耦合单模多芯光纤（MCF）的弹性光网络（EON）中，芯间串扰（XT）会显着​​影响网络性能，尤其是当芯数和路径长度增加时。因此，从网络角度来看，感知损害的路由，频谱和核心分配（IA-RSCA）问题是MCF-EON的最重要问题。在本文中，我们提出了一种XT感知贪婪算法，以最小化XT对MCF-EONs性能的影响。为了使XT影响最小化，我们将IA-RSCA问题分解为两个子问题：IA路由子问题以及IA频谱和核心分配（IA-SCA）子问题。对于路由解决方案，一种基于k的预计算方法-使用最短路径，并且在考虑所需的光信噪比的情况下执行物理层损伤验证阶段。对于IA-SCA子问题，使用新颖的XT感知贪婪算法将XT对MCF-EONs性能的影响最小化，如下所示：对于每个新连接，检测到的新连接和干扰连接的XT功率级别相对于每个连接的XT功率阈值，所有这些连接的平均值平均最小化。通过选择新连接的核心和频率槽可以实现这种最小化。为了在检测到的XT功率中考虑新连接和干扰连接的频谱重叠扩展，引入了一种新颖的频率时隙重叠索引。通过计算机仿真评估了所提出算法的性能。结果表明，对于不同的XT电平和频谱碎片情况，该算法获得的总阻塞概率和网络平均利用率均优于通过核心优先级划分，随机和首次拟合策略获得的总阻塞概率和网络平均利用率。