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) …

AI-assisted network-slicing based next-generation wireless networks

X Shen, J Gao, W Wu, K Lyu, M Li… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …

A survey of mmWave user association mechanisms and spectrum sharing approaches: An overview, open issues and challenges, future research trends

ML Attiah, AAM Isa, Z Zakaria, MK Abdulhameed… - Wireless …, 2020 - Springer
Fifth generation (5G) cellular networks promise to support multi-radio access technologies
(multi-RATs) with low and high frequencies aiming at delivering good coverage, several …

Joint user association, power optimization and trajectory control in an integrated satellite-aerial-terrestrial network

F Pervez, L Zhao, C Yang - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
Internet-of-Things (IoT) is being widely embraced with the number of connected devices
growing rapidly. Moreover, IoT applications are emerging in diverse verticals such as …

Joint power allocation and user association optimization for IRS-assisted mmWave systems

D Zhao, H Lu, Y Wang, H Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a potential technology to build programmable wireless
environment in future communication systems. In this paper, we consider a multi-IRS …

Fully-decoupled radio access networks: A resilient uplink base stations cooperative reception framework

J Zhao, Q Yu, B Qian, K Yu, Y Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To cope with the even more urgent spectrum and energy efficiency challenge for trillion-level
terminal access and data uploading in the next generation mobile communication network …

Spatial-temporal resource optimization for uneven-traffic LEO satellite systems: Beam pattern selection and user scheduling

L Lei, A Wang, E Lagunas, X Hu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
With the commercial deployment of low earth orbit (LEO) satellites, the future integrated 6G-
satellite system represents an excellent solution for ubiquitous connectivity and high …

A deep reinforcement learning for user association and power control in heterogeneous networks

H Ding, F Zhao, J Tian, D Li, H Zhang - Ad Hoc Networks, 2020 - Elsevier
Heterogeneous network (HetNet) is a promising solution to satisfy the unprecedented
demand for higher data rate in the next generation mobile networks. Different from the …

Joint device association, resource allocation, and computation offloading in ultradense multidevice and multitask IoT networks

T Zhou, Y Yue, D Qin, X Nie, X Li… - IEEE internet of things …, 2022 - ieeexplore.ieee.org
With the emergence of more and more applications of Internet of Things (IoT) mobile devices
(IMDs), a contradiction between mobile energy demand and limited battery capacity …

User association for millimeter-wave networks: A machine learning approach

R Liu, M Lee, G Yu, GY Li - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication has been regarded as one of the most promising
means to improve the cellular system capacity in the fifth-generation (5G) era. Compared …