Machine learning-based solutions for handover decisions in non-terrestrial networks

MK Dahouda, S Jin, I Joe - Electronics, 2023 - mdpi.com
The non-terrestrial network (NTN) is a network that uses radio frequency (RF) resources
mounted on satellites and includes satellite-based communications networks, high altitude …

Cross-layer-based adaptive vertical handoff with predictive RSS in heterogeneous wireless networks

BJ Chang, JF Chen - IEEE Transactions on vehicular …, 2008 - ieeexplore.ieee.org
A heterogeneous wireless network consists of various wireless networks [eg, Worldwide
Interoperability for Microwave Access (WiMAX) and Wireless Fidelity (WiFi)] and cellular …

Managing vertical handovers in millimeter wave heterogeneous networks

S Zang, W Bao, PL Yeoh, B Vucetic… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A promising solution to address the spectrum shortage in 5G cellular systems is the
deployment of millimeter wave (mmWave) heterogeneous networks (HetNets). However, a …

Handover performance evaluation under dynamic user characteristics

GG Lema - Wireless Personal Communications, 2021 - Springer
In mobile networks, maintaining the on-going call is critical while the user is still moving from
one evolved node B (eNB) to another eNB or one sector to another sector within the same …

Dynamic fuzzy Q-learning for handover parameters optimization in 5G multi-tier networks

J Wu, J Liu, Z Huang, S Zheng - 2015 international conference …, 2015 - ieeexplore.ieee.org
The mobility robustness optimization can significantly enhance the quality of service in
scenarios characterized by dense uncoordinated deployment of small cells, as targeted by …

Mobility management in 5G and beyond: a novel smart handover with adaptive Time-to-trigger and hysteresis margin

R Karmakar, G Kaddoum… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 5th Generation (5G) New Radio (NR) and beyond technologies will support enhanced
mobile broadband, very low latency communications, and huge numbers of mobile devices …

Big data and machine learning driven handover management and forecasting

LP Tung, BSP Lin - 2017 IEEE Conference on Standards for …, 2017 - ieeexplore.ieee.org
Handover (HO), as a key aspect of mobility management, plays an important role in
improving network quality and mobility performance in mobile networks. Especially, in 5G …

Deep learning based localization and HO optimization in 5G NR networks

R Klus, L Klus, D Solomitckii… - … on Localization and …, 2020 - ieeexplore.ieee.org
In the emerging 5G radio networks, beamforming-capable nodes are able to densely cover
narrow areas with a high-quality signal. Such systems require high-level handover …

DQN-ALrM-based intelligent handover method for satellite-ground integrated network

J Yang, Z Xiao, H Cui, J Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The satellite-ground integrated network (SGIN), consisting of satellites and ground base
stations, is regarded as the trend to solve the problem of global coverage. However, highly …

Learning-based handover in mobile millimeter-wave networks

S Khosravi, H Shokri-Ghadikolaei… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is considered as a key enabler of ultra-high data
rates in the future cellular and wireless networks. The need for directional communication …