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研究了多纤芯弹性光网络中选路、纤芯分配和频谱分配问题。为最小化网络的最大占用频隙号,建立了一个使相邻纤芯之间的串扰率满足一定阈值要求的全局约束优化模型。为有效地求解该约束优化模型,设计了一种全局优化遗传算法。首先将疏导后的业务排序,然后利用设计的遗传算法为所有业务选择最优的路径和纤芯分配方案,从而使网络中占用的最大频隙号最小。为验证算法的有效性,在多个网络中进行了不同的仿真验证,仿真结果表明所设计的算法能够减小网络中最大占用频隙号,提高频谱利用率。
The routing, core distribution and spectrum allocation in multi-core elastic optical networks are studied. In order to minimize the maximum occupied frequency slot number of the network, a global constrained optimization model is established to meet the requirement of a certain threshold for the crosstalk between adjacent cores. In order to effectively solve the constrained optimization model, a global optimization genetic algorithm is designed. First, sort the diversified services, and then use the designed genetic algorithm to select the optimal path and core allocation scheme for all the services, so as to minimize the maximum frequency slot occupied in the network. In order to verify the validity of the algorithm, different simulations are performed on multiple networks. The simulation results show that the proposed algorithm can reduce the maximum occupied frequency slot number in the network and improve the spectrum efficiency.