Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks

<p dir="ltr">Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular NetworksThe future Heterogeneous Cellular Network (HCN) is expected to fulfill the demand for the Internet of Things, Industry 4.0, extended reality, connected vehicles a...

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Bibliographic Details
Main Author: Abdul Qadeer Khan (22502168) (author)
Other Authors: Kamran Javed (21726248) (author), Ali Raza (3558965) (author), Shahryar Saleem (22502171) (author), Zubair Saeed (19325647) (author)
Published: 2025
Subjects:
Engineering
Communications engineering
Information and computing sciences
Machine learning
Heterogeneous cellular network
cell association
load balancing
energy efficiency
deep Q-learning
UE battery
Load management
Batteries
Base stations
Interference
Cellular networks
Uplink
Load modeling
Signal to noise ratio
Throughput
Optimization
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