Quantum Brain Storm Optimization of GaN Power Amplifier Design

Abstract

This paper presents a novel quantum paired brain storm optimized analysis for GaN based power amplifier in 5G environment. The GaN power amplifier has a number of modeling parameters that need to be matched with the S-parameter measurement results. These parameters are from a handful small signal models. We use a quantum state brain storm optimization to fit these parameters to make sure that they are not falling into the local solution that is good for one frequency, but not good for the others. Simulation shows clearly the sensitive region of the parameters.