Machine Learning and Deep Learning-Based Atmospheric Duct Interference Detection and Mitigation in TD-LTE Networks

Machine Learning and Deep Learning-Based Atmospheric Duct Interference Detection and Mitigation in TD-LTE Networks

The variations in the atmospheric refractivity in the lower atmosphere create a natural phenomenon known as atmospheric ducts. The atmospheric ducts allow radio signals to travel long distances. This can adversely affect telecommunication systems, as cells with similar frequencies can interfere with...

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Bibliographic Details
Main Authors: Rasendram Muralitharan, Upul Jayasinghe, Roshan G. Ragel, Gyu Myoung Lee
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Future Internet
Subjects:
TD-LTE
ADI
machine learning
SVM
random forest
LSTM
Online Access:https://www.mdpi.com/1999-5903/17/6/237
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