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 …

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 …

Mobility robustness optimization in future mobile heterogeneous networks: A survey

W Tashan, I Shayea, S Aldirmaz-Colak, M Ergen… - IEEE …, 2022 - ieeexplore.ieee.org
Ensuring reliable and stable communication during the movements of mobile users is one of
the key issues in mobile networks. In the recent years, several studies have been conducted …

[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 …

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 …

Cognitive network function for mobility robustness optimization in cellular networks

S Parameswaran, T Bag, S Garg… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Self Organizing Networks (SON) aim at automating different network management functions,
thereby improving their efficiency while reducing the operational expenditures. There are …

[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 …

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 …

Mobility-aware load balancing for reliable self-organization networks: Multi-agent deep reinforcement learning

A Mohajer, M Bavaghar, H Farrokhi - Reliability Engineering & System …, 2020 - Elsevier
Abstract Self-Organizing Networks (SON) is a collection of functions for automatic
configuration, optimization, and healing of networks and mobility optimization is one of the …

[HTML][HTML] Robust handover optimization technique with fuzzy logic controller for beyond 5G mobile networks

S Alraih, R Nordin, A Abu-Samah, I Shayea… - Sensors, 2022 - mdpi.com
Mobility management is an essential process in mobile networks to ensure a high quality of
service (QoS) for mobile user equipment (UE) during their movements. In fifth generation …