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 …

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 …

Deep reinforcement learning-based adaptive handover mechanism for VLC in a hybrid 6G network architecture

L Wang, D Han, M Zhang, D Wang, Z Zhang - IEEE Access, 2021 - ieeexplore.ieee.org
Visible light communication (VLC) is considered an important complementary technology for
extremely high sixth-generation (6G) data transmission and has become part of a hybrid 6G …

Context-oriented performance evaluation of network selection algorithms in 5G heterogeneous networks

R Honarvar, A Zolghadrasli, M Monemi - Journal of Network and Computer …, 2022 - Elsevier
Vertical handover is the essential feature of the next generation of heterogeneous wireless
networks. Network selection among accessible candidates is the most critical step in vertical …

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 …

An artificial neural network-based handover scheme for hybrid lifi networks

G Ma, R Parthiban, N Karmakar - IEEE Access, 2022 - ieeexplore.ieee.org
Combining the ultra-high user throughput of the light fidelity (LiFi) and the ubiquitous
coverage of wireless fidelity (WiFi), the hybrid LiFi and WiFi network (HLWNet) demonstrates …

[HTML][HTML] Adaptive handover control parameters over voronoi-based 5G networks

W Tashan, I Shayea, M Sheikh, H Arslan… - … Science and Technology …, 2024 - Elsevier
Various speed scenarios such as high-speed travelling trains and connected drones over
ultra-dense heterogeneous networks (HetNets) may result in a large number of handovers …

Federated Reinforcement Learning with Knowledge Transfer for Network Selection in Hybrid WiFi-VLC Networks

AM Alenezi, KA Hamdi - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
The dramatic growth of mobile data demand may impose a heavy traffic burden in indoor
environments such that conventional radio frequency wireless networks might not be …

Sub-decimeter VLC 3D indoor localization with handover probability analysis

SM Sheikholeslami, F Fazel, J Abouei… - IEEE …, 2021 - ieeexplore.ieee.org
This paper addresses the problem of Visible Light Communication (VLC)-based indoor
localization and handover, where mobile users communicate with hybrid VLC/mmWave …