A survey on handover and mobility management in 5G HetNets: current state, challenges, and future directions

Y Ullah, MB Roslee, SM Mitani, SA Khan, MH Jusoh - Sensors, 2023 - mdpi.com
Fifth-generation (5G) networks offer high-speed data transmission with low latency,
increased base station volume, improved quality of service (QoS), and massive multiple …

A survey of handover management in mobile HetNets: current challenges and future directions

AU Rehman, MB Roslee, T Jun Jiat - Applied Sciences, 2023 - mdpi.com
With the rapid growth of data traffic and mobile devices, it is imperative to provide reliable
and stable services during mobility. Heterogeneous Networks (HetNets) and dense …

[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 …

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 …

[HTML][HTML] SOMNet: Self-Optimizing mobility management for resilient 5G heterogeneous networks

A Alhammadi, ZH Ismail, I Shayea, ZA Shamsan… - … Science and Technology …, 2024 - Elsevier
Effective mobility management in heterogeneous networks is significant in ensuring
seamless handovers (HOs) between diverse cell types, especially as users move between …

Optimal handover optimization in future mobile heterogeneous network using integrated weighted and fuzzy logic models

W Tashan, I Shayea, S Aldirmaz-Colak… - IEEE …, 2024 - ieeexplore.ieee.org
High mobility travelling trains and drones connected via ultra-dense mobile networks may
lead to frequent handovers (HOs). As a consequence, this could arise the mobility problems …

Self-Optimization of Handover Control Parameters for 5G Wireless Networks and Beyond

AI Mbulwa, HT Yew, A Chekima, JA Dargham - IEEE Access, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) networks consist of relatively smaller cells compared to legacy
networks. Therefore, a user will take a shorter time toward the cell edge. This exposes the …

A Beamforming-Based Enhanced Handover Scheme with Adaptive Threshold for 5G Heterogeneous Networks

Z Zhang, Z Jiang, B Yang, X She - Electronics, 2023 - mdpi.com
In order to tackle the explosive growth of data traffic and the number of terminals, 5G
heterogeneous network (HetNet) has become an important evolution direction of 5G …

Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity

H Wang, B Li - Transactions on Emerging Telecommunications …, 2024 - Wiley Online Library
Millimeter wave (mmWave) technology, with its abundant spectrum resources and ultra‐high
bandwidth, plays a crucial role in meeting the ultra‐high throughput requirements of future …

A Reinforcement Learning Handover Parameter Adaptation Method Based on LSTM-Aided Digital Twin for UDN

J He, T Xiang, Y Wang, H Ruan, X Zhang - Sensors, 2023 - mdpi.com
Adaptation of handover parameters in ultra-dense networks has always been one of the key
issues in optimizing network performance. Aiming at the optimization goal of effective …