Machine Learning for LTE Energy DetectionPerformance Improvement

LTE signal generated using matlab. LTE signal is transmitted through fading channel with shadowing. Energy Detection is performed on received LTE data. Energy Detection results are saved in the text files. Those results can be used in Python programs to test out k-Nearest Neighbors and Random Forest Machine Learning algorithms. Results can be then used in matlab programs to show on plots improvement in terms of probability of detection and false alarm.