Deep learning-based prediction of resource block usage rate for spectrum saturation diagnosis

HS Jang, H Lee, H Kwon, S Park - IEEE Access, 2021 - ieeexplore.ieee.org
Strict restrictions on spectrum utilization and the rapid increases in mobile users have
brought fundamental challenges for mobile network operators in securing sufficient …

A machine learning approach that meets axiomatic properties in probabilistic analysis of LTE spectral efficiency

Y Lee, Y Kim, S Park - 2019 international conference on …, 2019 - ieeexplore.ieee.org
Recent maturity of Long Term Evolution (LTE) has raised interest in assessing how
efficiently the cells are deployed. Since Cell Spectral Efficiency (CSE) is a principal indicator …

Predicting the Spectral and Energy Efficiency of LTE Network.

SH Gupta, A Tyagi, R Sharma - International Journal of …, 2024 - search.ebscohost.com
As the number of subscribers for Long Term Evolution (LTE) technology and associated
resources increase, it has become mandatory for the LTE mobile operators to evaluate how …