9 | | Radio Frequency Interference (RFI) occurs when overlapping signals, such as those from satellite systems and emerging 5G technologies in the FR3 (7–24 GHz) band, disrupt each other’s communication quality. We aim to develop a machine learning pipeline that can detect and mitigate such interference. To detect RFI, we utilize convolutional neural networks that leverage both graphical data generated from existing datasets and custom 5G signal data produced using MATLAB’s 5G Toolbox. For the mitigation aspect, we will apply ML algorithms to optimize beam-forming with real-time data. |