| 15 | | Radio Frequency Interference 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 to detect RFI using both graphical data generated from existing datasets and custom 5G signal data produced through MATLAB’s 5G Toolbox. To mitigate interference, we will use beamforming optimization to adaptively minimize RFI impact, enabling reliable coexistence. |
| | 15 | Radio Frequency Interference 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 using both graphical data generated from existing datasets and custom 5G signal data produced through MATLAB’s 5G Toolbox. To mitigate interference, we will use beamforming optimization to adaptively minimize RFI impact, enabling reliable coexistence. |
