Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach
Date Issued
2023-03
Author(s) USM
DOI
10.1155/2023/4140594
Abstract
A deep reinforcement learning (DRL) approach is applied, for the first time, to solve the routing, modulation, spectrum, and core allocation (RMSCA) problem in dynamic multicore fiber elastic optical networks (MCF-EONs). To do so, a new environment was de
