EMI Analysis and Nonlinearity Characterization of 5G FR1 Amplifiers for UAV–RIS Networks

This work introduces a broad framework for the enhanced nonlinearity assessment of PAs for 5G FR1 in UAV–RIS networks with integration. This study employs LabVIEW-based double-frequency IMD3 testing methodology for a fast automatic test bed to quantify the nonlinearity and its EMI effect on the UAV–RIS system. The analysis includes the evaluation of the EMI effect on the TxRx link using the SNR model. In order to enhance the efficiency of the system, a 16 QAM modulator is incorporated into the system in order to modulate and demodulate the signal. Additionally, the system includes a Deep Q agent based on the DRL model that enhances the controllability and efficiency of amplifiers under the dynamic environment typical for UAV–RIS networks. This work offers a framework for enhancing amplifier design for EMI reduction and supports the sound engineering of future UAV–RIS-based communication networks. The outcomes prove that signal integrity and nonlinearity characterization are enhanced significantly, providing important information for future 5G and beyond wireless communication systems.