A Novel Approach for Machine Learning-based Load Balancing in High-speed Train System using Nested Cross Validation

İ Yazıcı, E Gures - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) mobile communication networks have recently emerged in various
fields, including high-speed trains. However, the dense deployment of 5G millimeter wave …

[HTML][HTML] A comparative study of machine learning-based load balancing in high-speed train system

E Gures, I Yazici, I Shayea, M Sheikh, M Ergen… - Alexandria Engineering …, 2023 - Elsevier
With the rapid developments of fifth generation (5G) mobile communication networks in
recent years, different use cases can now significantly benefit from 5G networks. One such …

Distributed load balancing for future 5G systems on-board high-speed trains

L Goratti, S Savazzi, A Parichehreh… - … Conference on 5G for …, 2014 - ieeexplore.ieee.org
The surge of mobile broadband Internet access has nowadays reached the critical point that
traffic is projected to increase dramatically in the next years and even the 4G UMTS Long …

Handover enhancement in high-speed railway 5G networks: a LSTM-based prediction method

Y Lu, C Zhang, D Chen, W Zhang… - 2022 13th International …, 2022 - ieeexplore.ieee.org
This paper focuses on the handover performance enhancement of high-speed railway
(HSR) 5G millimeter wave (mmWave) networks. As starting the handover at different time …

Handover performance improvement for ultra dense network of high-speed railway

J Wang, X Yang, S Zhao, L Zhang… - 2017 IEEE 85th …, 2017 - ieeexplore.ieee.org
Nowadays the implementation of mobile Internet access services for high-speed railway
(HSR) passengers are facing several challenges. In particular, the extra penetration loss of …

The effect of power adjustment on handover in high-speed railway communication networks

Y Lu, K Xiong, P Fan, Z Zhong, B Ai - IEEE Access, 2017 - ieeexplore.ieee.org
In future 5G communication systems, supporting high-quality wireless communications in
high-mobility scenarios becomes very essential. Although many existing works indicate that …

Machine learning for 5G and beyond: From model-based to data-driven mobile wireless networks

T Wang, S Wang, ZH Zhou - China Communications, 2019 - ieeexplore.ieee.org
During the past few decades, mobile wireless communications have experienced four
generations of technological revolution, namely from 1G to 4G, and the deployment of the …

Adaptive cost-based handover decision algorithm for user equipment battery-life aware load balancing in LTE network

N Salawu, SH Syed Ariffin, SK Adnan - 2016 - repository.futminna.edu.ng
The demand for higher data rate and lower cost is making the use of Long Term Evolution
(LTE network) more popular in recent years. In this paper, we deal with an adaptive cost …

A survey of machine learning applications to handover management in 5G and beyond

MS Mollel, AI Abubakar, M Ozturk, SF Kaijage… - IEEE …, 2021 - ieeexplore.ieee.org
Handover (HO) is one of the key aspects of next-generation (NG) cellular communication
networks that need to be properly managed since it poses multiple threats to quality-of …

Handover Optimization Algorithm Based on T2RFS‐FNN

Y Chen, K Niu, W Zhang - Computational Intelligence and …, 2022 - Wiley Online Library
As a key technology for highly reliable communication in the fifth generation mobile
communication for railway (5G‐R) high‐speed railway wireless communication system …