Whittle index based user association in dense millimeter wave networks

MR Nalavade, GS Kasbekar… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
We address the problem of user association in a dense millimeter wave (mmWave) network,
in which each arriving user comes with a file containing a random number of packets and …

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 …

User Association in Dense Millimeter Wave Networks With Multi-Channel Access Points Using the Whittle Index

RS Tomar, MR Nalavade… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
In dense millimeter wave (mmWave) networks, user association, ie, the task of selecting the
access point (AP) that each arriving user should join, significantly impacts the network …

User association in dense mmwave networks as restless bandits

SK Singh, VS Borkar… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we study the problem of user association, ie, determining which base station
(BS) a user should associate with, in a dense millimeter wave (mmWave) network. In our …

User Association and Channel Allocation in 5G Mobile Asymmetric Multi-band Heterogeneous Networks

M Dai, G Sun, H Yu, S Wang, D Niyato - arXiv preprint arXiv:2405.18797, 2024 - arxiv.org
With the proliferation of mobile terminals and the continuous upgrading of services, 4G LTE
networks are showing signs of weakness. To enhance the capacity of wireless networks …

An LSTM‐based cell association scheme for proactive bandwidth management in 5G fog radio access networks

S Manzoor, AN Mian, S Mazhar - International Journal of …, 2021 - Wiley Online Library
Cellular networks are evolving into dynamic, dense, and heterogeneous networks to meet
the unprecedented traffic demands which introduced new challenges for cell resource …

User association-based load balancing using reinforcement learning in 5G heterogeneous networks

P Ramesh, PTV Bhuvaneswari, VS Dhanushree… - The Journal of …, 2025 - Springer
The deployment of heterogeneous networks (HetNets), which include macro and micro Base
Stations (BSs), has emerged as an effective solution to address the challenges faced by 5G …

AeroLOBE: A Deep Learning-based Novel Load Balancer for Aerial Communication to Enhance the Performance of 6G Networks

T Vrind, D Das - Journal of Communications and Information …, 2024 - ieeexplore.ieee.org
While the low-altitude platform (LAP)-based aerial cells help improve the coverage and
capacity for the telecom operator, the deployment and management of the aerial fleet is a …

A Deep Reinforcement Learning Approach for Load Balancing in Open Radio Access Networks

H Zafar, M Kasparick, S Maghsudi… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The Open RAN paradigm offers data-driven, intelligent optimization of the radio access
network (RAN). The disaggregated nature of the Open RAN combined with virtualization on …

Low Cost Dynamic Load Balancing for User-Centric Wireless Systems

MG Kibria, X Jie - 2023 IEEE 97th Vehicular Technology …, 2023 - ieeexplore.ieee.org
The need for load balancing in 5th generation (5G) networks is evident from the fact that the
traffic load can vary over time and space. When the traffic demand varies over time and …