[HTML][HTML] Machine learning in beyond 5G/6G networks—State-of-the-art and future trends

VP Rekkas, S Sotiroudis, P Sarigiannidis, S Wan… - Electronics, 2021 - mdpi.com
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …

Machine learning based load balancing algorithms in future heterogeneous networks: A survey

E Gures, I Shayea, M Ergen, MH Azmi… - IEEE Access, 2022 - ieeexplore.ieee.org
The massive growth of mobile users and the essential need for high communication service
quality necessitate the deployment of ultra-dense heterogeneous networks (HetNets) …

Adaptive handover algorithm for LTE-R system in high-speed railway scenario

Y Chen, K Niu, Z Wang - IEEE Access, 2021 - ieeexplore.ieee.org
With the rapid development of high-speed railway, the LTE-R communication system has
more requirements for the handover success rate. An adaptive handover algorithm based on …

[HTML][HTML] 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 …

A Data-Driven Framework for Inter-Frequency Handover Failure Prediction and Mitigation

M Manalastas, MUB Farooq, SMA Zaidi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
With 5G already deployed, challenges related to handover exacerbate due to the dense
base station deployment operating on a motley of frequencies. In this paper, we present and …

A deep learning approach to location-and orientation-aided 3d beam selection for mmwave communications

S Rezaie, E De Carvalho… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Position-aided beam selection methods have been shown to be an effective approach to
achieve high beamforming gain while limiting the overhead and latency of initial access in …

Intelligent Handover Algorithm for Vehicle-to-Network Communications With Double-Deep Q-Learning

K Tan, D Bremner, J Le Kernec… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
For vehicle-to-network communications, handover (HO) management enables vehicles to
maintain the connection with the network while transiting through coverage areas of different …

Adaptive Handover Decision Using Fuzzy Logic for 5G Ultra-Dense Networks

WS Hwang, TY Cheng, YJ Wu, MH Cheng - Electronics, 2022 - mdpi.com
With the explosive increase in traffic volume in fifth-generation (5G) mobile wireless
networks, an ultra-dense network (UDN) architecture, composed of highly concentrated …

Toward zero touch configuration of 5g non-public networks for time sensitive networking

F Luque-Schempp, L Panizo, P Merino, J Rivas - IEEE Network, 2022 - ieeexplore.ieee.org
The need to increase mobility and remove cables in industrial environments is pushing 5G
as a valuable communication system to connect traditional deterministic Ethernet-based …

Dual-Connectivity Handover Scheme for a 5G-Enabled Ambulance

Y Zhao, X Zhang, X Gao, K Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Remote first-aid treatment on ambulances is a promising application of 5G. However, there
still exist gaps between the capabilities of current 5G networks and the stringent …