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) …

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 …

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 …

[HTML][HTML] Joint position optimization, user association, and resource allocation for load balancing in UAV-assisted wireless networks

D Zhai, H Li, X Tang, R Zhang, H Cao - Digital Communications and …, 2022 - Elsevier
Unbalanced traffic distribution in cellular networks results in congestion and degrades
spectrum efficiency. To tackle this problem, we propose an Unmanned Aerial Vehicle (UAV) …

Joint user association and beamforming design for millimeter wave UDN with wireless backhaul

G Kwon, H Park - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
As millimeter wave (mmWave) beamforming (BF) system can increase the areal capacity in
ultra-dense network (UDN), a joint design of user association and hybrid BF is challenging …

Joint active-passive beamforming and user association in IRS-assisted mmWave cellular networks

EM Taghavi, R Hashemi, A Alizadeh… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surfaces (IRSs) are a promising technology for future-generation
wireless networks by extending coverage region to blind spots and increasing mmWave …

An adaptive cell selection scheme for 5G heterogeneous ultra-dense networks

IA Alablani, MA Arafah - IEEE Access, 2021 - ieeexplore.ieee.org
Fifth-generation (5G) cellular networks are a promising technology to meet the rapid growth
in wireless traffic. Small cells are critical in fulfilling the requirements of 5G networks. A …

Reinforcement learning-based vehicle-cell association algorithm for highly mobile millimeter wave communication

H Khan, A Elgabli, S Samarakoon… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is a growing area of communication with a
variety of use cases. This paper investigates the problem of vehicle-cell association in …

Reinforcement learning for user association and handover in mmwave-enabled networks

A Alizadeh, M Vu - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Using a multi-armed bandit technique, we propose centralized and semi-distributed online
algorithms for load balancing user association and handover in mmWave-enabled networks …

Learning-based load balancing handover in mobile millimeter wave networks

S Khosravi, HS Ghadikolaei… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmWave) communication is a promising solution to the high data rate
demands in the upcoming 5G and beyond communication networks. When it comes to …