A service-centric Q-learning algorithm for mobility robustness optimization in LTE

ML Marí-Altozano, SS Mwanje… - … on Network and …, 2021 - ieeexplore.ieee.org
Due to the diversity of mobile services and rising user expectations, mobile network
management has changed its focus from Quality of Service (QoS) to Quality of Experience …

Big data enabled mobility robustness optimization for commercial LTE networks

J Joseph, F Ahmed, T Jokela… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Mobility Robustness optimization (MRO) is widely considered as an important self-
organizing network (SON) usecase for tackling mobility management problems in …

A robust self-optimization algorithm based on idiosyncratic adaptation of handover parameters for mobility management in LTE-A heterogeneous networks

T Al Achhab, F Abboud, A Assalem - IEEE Access, 2021 - ieeexplore.ieee.org
Mobility robustness optimization (MRO) is a fundamental issue regarding self-optimization
network (SON). In long-term evolution-advanced (LTE-A), handover (HO) optimization in …

Advanced mobility robustness optimization models in future mobile networks based on machine learning solutions

W Tashan, I Shayea, S Aldirmaz-Çolak, OA Aziz… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Soft metric assisted mobility robustness optimization in LTE networks

G Hui, P Legg - 2012 International Symposium on Wireless …, 2012 - ieeexplore.ieee.org
Mobility Robustness Optimization (MRO) is a use-case of Self-Organizing Networks (SON)
for LTE that aims to optimize handover performance automatically. Conventional MRO …

Performance evaluation of mobility robustness optimization (MRO) in 5G network with various mobility speed scenarios

WK Saad, I Shayea, BJ Hamza, A Azizan… - IEEE …, 2022 - ieeexplore.ieee.org
The massive deployment of small-sized cells for the Fifth Generation (5G) mobile network
will increase the Handover Probability (HOP), potentially causing higher Handover Ping …

[HTML][HTML] Handover parameter for self-optimisation in 6G mobile networks: A survey

U Mahamod, H Mohamad, I Shayea, M Othman… - Alexandria Engineering …, 2023 - Elsevier
One of the most crucial issues in mobile networks is ensuring reliable and stable
connectivity during mobility. In recent years, numerous research has examined Fourth …

Machine learning–based mobility robustness optimization under dynamic cellular networks

MT Nguyen, S Kwon - IEEE Access, 2021 - ieeexplore.ieee.org
In this paper, we propose a machine learning-based mobility robustness optimization
algorithm to optimize handover parameters for seamless mobility under dynamic small-cell …

[HTML][HTML] Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks

SA Saad, I Shayea, NMOS Ahmed - Alexandria Engineering Journal, 2024 - Elsevier
Ensuring reliable and stable communication links between User Equipment (UE) and
serving cellular networks during UE movement is one of the significant difficulties facing the …

Mobility management in 5G and beyond: a novel smart handover with adaptive Time-to-trigger and hysteresis margin

R Karmakar, G Kaddoum… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 5th Generation (5G) New Radio (NR) and beyond technologies will support enhanced
mobile broadband, very low latency communications, and huge numbers of mobile devices …