Machine Learning based Atmospheric Duct Interference cancellation in TD LTE networks

The aim of the project is to find a method to overcome the problem which is caused by the atmospheric duct to 4G LTE networks. In order to do that we are aiming to build two ML-based models which can predict the duct interference and the other one to minimize such interference.