Hopfield learning-based and non-linear programming methods for resource allocation in OCDMA networks - Pendeza Martinez, Cristiane A; Durand, Fábio Renan; Abrao, Taufik; Goedtel, Alessandro (IET communications, 2020)
Keywords: analysed methods; classical power allocation methods; code division multiple access; different network sizes; general problems; Hopfield learning‐based; Hopfield neural nets; Hopfield neural network approach; Lagrangian method; mH‐NN; modified H‐NN; nonlinear optimisation problems; nonlinear programming; nonlinear programming methods; OCDMA networks; optical code division multiple access systems; optical fibre networks; optical networks; optical users; performance‐complexity trade‐off; quality of service; Research Article; resource allocation; sequential quadratic programming; SQP methods; telecommunication computing; Hopfield neural nets; nonlinear programming; optical code division multiple access systems; optical networks; telecommunication computing; Hopfield neural network approach; classical power allocation methods; OCDMA networks; resource allocation; optical users; different network sizes; SQP methods; Lagrangian method; modified H-NN; performance-complexity trade-off; nonlinear optimisation problems; code division multiple access; quality of service; Hopfield learning-based; mH-NN; nonlinear programming methods; optical fibre networks; general problems; sequential quadratic programming; analysed methods