A Heuristic Deep Learning Assisted RSA Algorithm for Elastic Optical Networks

Routing and spectrum assignments (RSA) is a critical issue for Elastic Optical Networks (EONs). Traditional K-Shortest Path (KSP) algorithm cannot provide optimal routing strategy for dynamic arriving services in complex network environment. An improved heuristic deep-learning assisted algorithm is introduced to achieve deep-learning based RSA strategy (D-RSA) to find the global optimal solution, which can improve the network performance in blocking rate, spectrum utilization and spectrum fragmentation. Simulation results show that the proposed algorithm can improve the blocking rate and spectrum utilization by about 3% and 4% respectively, while reducing the spectrum fragmentation to some extent compared to D-RSA.