Accelerating RF Power Amplifier Design via Intelligent Sampling and ML-Based Parameter Tuning

Abhishek Sriram, Neal Tuffy

This paper presents a machine learning-accelerated optimization framework for RF power amplifier design that reduces simulation requirements by 65% while maintaining $\pm 0.4$ dBm a…