Deep Learning-Based Prediction of Resource Block Usage Rate for Spectrum Saturation Diagnosis

Deep Learning-Based Prediction of Resource Block Usage Rate for Spectrum Saturation Diagnosis

Strict restrictions on spectrum utilization and the rapid increases in mobile users have brought fundamental challenges for mobile network operators in securing sufficient spectrum resources. In designing reliable cellular networks, it is essential to predict spectrum saturation events in the future...

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Bibliographic Details
Main Authors: Han Seung Jang, Hoon Lee, Hyeyeon Kwon, Seungkeun Park
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
LTE
recurrent neural network
resource block usage rate
spectrum saturation
Online Access:https://ieeexplore.ieee.org/document/9406027/

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