Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3215684
Abstract: Ultra-dense heterogeneous networks (HetNets) are deployment scenarios in the advent of fifth generation (5G) and beyond network generations. A massive number of small base stations (SBSs) and connected devices have been exponentially increasing. This has… read more here.
Keywords: mobility; future mobile; robustness optimization; machine learning ... See more keywords
Multi-Objective Optimization of the Robustness of Complex Networks Based on the Mixture of Weighted Surrogates
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12040404
Abstract: Network robustness is of paramount importance. Although great progress has been achieved in robustness optimization using single measures, such networks may still be vulnerable to many attack scenarios. Consequently, multi-objective network robustness optimization has recently… read more here.
Keywords: network; surrogate models; multi objective; robustness optimization ... See more keywords
On Robustness in Optimization-Based Constrained Iterative Learning Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.48550/arxiv.2203.05291
Abstract: Iterative learning control (ILC) is a control strategy for repetitive tasks wherein information from previous runs is leveraged to improve future performance. Optimization-based ILC (OB-ILC) is a powerful design framework for constrained ILC where measurements… read more here.
Keywords: robustness optimization; control; learning control; iterative learning ... See more keywords