Hopfield learning‐based and non‐linear programming methods for resource allocation in OCDMA networks
Hopfield learning‐based and non‐linear programming methods for resource allocation in OCDMA networks
This study proposes the deployment of the Hopfield neural network (H-NN) approach to optimally assign power in optical code division multiple access (OCDMA) systems. Figures of merit such as the feasibility of solutions and complexity are compared with the classical power allocation methods found in the literature, such as sequential …