… performance indicators that reflect mobile user experience: … complexity, we exploit a data-driven
approach. To minimize the … need for self-optimization solution as proposed in this study. …

… that prohibit analytical modeling, we leverage data driven modeling. We evaluate several
state … is not optimal and hence the need for self-optimization solution as proposed in this study. …

… exploiting data-driven modeling [3]. As operators do not allow experiments with A5 parameters
… is not optimal and hence the need for self-optimization solution as proposed in this study. …

… the directions for HO self-optimization in 6G deployment. It … On the other hand, inter-frequency
HO happens when the UE … Author [41] introduced a data-driven, centralized SON based …

… number of parameters related to various functions like user mobility, … In this paper, we
propose a new data-driven … If IFLB is activated ("true"), interfrequency load measurements are …

… , self-optimization procedures adjust system parameters to … the value of inter-frequency
handover (IFHO) parameters. For … proposed algorithm relies on a new indicator that estimates the …

… complexity, we utilize data driven modeling to quantitatively … aided SA solution can enable
agile self optimization of mobility … a solution that concurrently optimizes inter-frequency and …

… model up to 25 percent when the number of parameters is … -cell layer in new generation of
mobile network, establishing … consider inter-frequency handovers in next-generation mobile …

… Imran, “A data-driven self-optimization solution for inter-frequency mobility parameters in
emerging networks,” IEEE Transactions on Cognitive Communications and Networking, 2022. [7…

… In this study, we introduce a self-optimization method for three pivotal handover control …
, ‘‘A data-driven self-optimization solution for inter-frequency mobility parameters in emerging …