This article presents an overview of artificial neural network (ANN) techniques for a
microwave computer-aided design (CAD). ANN-based techniques are becoming useful for …

In contrast to the long-held belief that wireless systems can only work in half-duplex mode,
full-duplex (FD) systems are able to concurrently transmit and receive information over the …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Power amplifier (PA) models, such as the neural network (NN) models and the multilayer NN
models, have problems with high complexity. In this article, we first propose a novel behavior …

The RF PA, as one of the most essential components in any wireless system, suffers from
inherent nonlinearities. The output of a PA must comply with the linearity requirement …

A new behavioral model for digital predistortion of radio frequency (RF) power amplifiers
(PAs) is proposed in this paper. It is derived from a modified form of the canonical piecewise …

A comparative study of nonlinear behavioral models with memory for radio-frequency power
amplifier (PAs) is presented. The models are static polynomial, parallel Hammerstein (PH) …

In this paper, a novel two hidden layers artificial neural network (2HLANN) model is
proposed to predict the dynamic nonlinear behavior of wideband RF power amplifiers (PAs) …

Modeling and computer-aided design (CAD) techniques are essential for microwave design,
especially with the drive towards first-pass design success. We have described neural …

In this letter, measured adjacent channel leakage ratio (ACLR) results using a GaN Doherty
power amplifier will show that for less than 2000 coefficients, sigmoid activated deep neural …