Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges

A Alhammadi, I Shayea, AA El-Saleh… - … Journal of Intelligent …, 2024 - Wiley Online Library
Wireless technologies are growing unprecedentedly with the advent and increasing
popularity of wireless services worldwide. With the advancement in technology, profound …

[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 …

Future Prospects and Challenges of On-Demand Mobility Management Solutions

M Mukhtar, F Yunus, J Li, T Mahmood, YAA Ali - IEEE Access, 2023 - ieeexplore.ieee.org
Generally, mobility management (MM) solutions are centralized, which means only one
entity controls the mobility-related tasks of mobile nodes connected to the network. However …

AI-RAN in 6G Networks State-of-the-Art and Challenges

NA Khan, S Schmid - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
6G is a next-generation cellular communication technology that builds up on existing 5G
networks which are currently rolled out worldwide. Through incorporation of artificial …

[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 …

An adaptive context-aware vertical handover decision algorithm for heterogeneous networks

P Satapathy, J Mahapatro - Computer Communications, 2023 - Elsevier
In a heterogeneous network, vertical handovers occur frequently between different access
technologies to meet the requirements of mobile users. The selection of an access …

[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 …

User Classification and Traffic Steering in O-RAN

R Ntassah, GM Dell'area… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
The O-RAN architectural framework enables the application of AI/ML techniques for traffic
steering and load balancing. Indeed, an effective steering technique is crucial to avoiding …

Optimizing Waste Management through IoT and Analytics: A Case Study Using the Waste Management Optimization Test

MF Kuzhin, A Joshi, V Mittal, M Khatkar… - BIO Web of …, 2024 - bio-conferences.org
This research examines how Internet of Things (IoT) technology and advanced analytics
may be integrated into trash management. The results show a notable improvement in waste …

Adaptive handover control parameters based on cell load capacity in a B5G/6G heterogeneous network

MM Mohamed, HM Elbadawy… - … Electronics and Control), 2024 - telkomnika.uad.ac.id
Abstract In the B5G/6G network, the deployment of small cells increased to keep up with the
growth of mobile traffic. This deployment will increase the number of handovers (HOs) …