In this article, a thorough overview of behavioral modeling and predistortion of dynamic
nonlinearities in RF PAs and transmitters was presented. The sensitivity of the DUT behavior …

In this paper, we propose a beam-oriented digital predistortion (BO-DPD) technique for
power amplifiers (PAs) in hybrid beamforming massive multiple-input multiple-output (MIMO) …

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 …

In this article, we present a novel recurrent neural network (RNN)-based behavioral model to
linearize radio frequency (RF) power amplifiers (PAs) under wideband excitations. Based on …

A new, dynamic behavioral modeling technique, based on a time-delay support vector
regression (SVR) method, is presented in this paper. As an advanced machine learning …

Digital predistortion (DPD) is one of the most effective techniques to mitigate the distortions
caused by power amplifier (PA) nonlinearity and memory effects. As the input signal …

In this paper, we present a method to implement digital predistortion (DPD) memory models
using lookup tables (LUTs) with linear interpolation and extrapolation. We introduce the …

This paper introduces a new, accurate, and complexity-reduced three-nonlinear-box model
that is suitable for the behavioral modeling and digital predistortion (DPD) of power …

The objective of this paper is to present an approach to behavioral modeling that can be
applied to predict the nonlinear response of power amplifiers with memory. Starting with the …

In this paper, new digital predistortion (DPD) solutions for power amplifier (PA) linearization
are proposed, with particular emphasis on reduced processing complexity in future 5G and …