Simulation results demonstrate that the proposed learning scheme, which is applied to a nonlinear three-tank system, provides better control reliability and robustness than classic robust schemes.
In this article, we propose a gradient method and cost function-based mobility robustness optimization scheme for long term evolution (LTE) femtocell self-organizing networks.
In this article, we develop a handover parameter adjusting-based mobility robustness optimization scheme, which aims to reduce unnecessary handovers and RLFs caused by too late handover, too early handover, or wrong handover in open access femtocells.
Over the last ten years, robustness of schemes has raised an increasing interest among the CFD community.
Robustness: the RPKE scheme is very robust against node compromise.
Several numerical tests exhibit stability and robustness of the scheme.
We demonstrate the efficiency and robustness of the scheme on numerical experiments in 1D and 2D.
IThroughporthis to poinewout that even if this procedureconcerned with purely Lagrangian schemes, the theorobustnessed is of fundamental importance for any methighlyelyimproved purely Landangian step, as ALE methenceor new-direct Euler schemes.
Various test cases show the accuracy and robustness of the scheme.
Several numerical examples demonstrate the efficiency, accuracy and robustness of the scheme.
