This paper presents a comparative overview of the most important approaches presented to
address the behavioral modeling of microwave and wireless power amplifiers (PAs). Starting …

In this paper, we provide a survey on techniques to improve the spectrum and energy
efficiency of wireless communication systems. Recognizing the fact that power amplifier (PA) …

Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all
communications systems. Digital baseband predistortion is a highly cost-effective way to …

" Distortion in RF Power Amplifiers explains that by minimizing memory effects, it is possible
to use simple linearizers, such as analog predistortion, and still achieve sufficient …

The polynomial model is commonly used in power amplifier (PA) modeling and predistorter
design. However, the conventional polynomial model exhibits numerical instabilities when …

This paper proposes a new behavioral model to treat memory effects in nonlinear power
amplifiers (PAs). Phenomena such as asymmetries in lower and upper intermodulation …

In this paper, we propose a novel real-valued time-delay neural network (RVTDNN) suitable
for dynamic modeling of the baseband nonlinear behaviors of third-generation (3G) base …

The adaptive nonlinear predistorter is an effective technique to compensate for the nonlinear
distortion existing in digital communication and control systems. However, available …

Neural networks (NNs) are becoming an increasingly attractive solution for power amplifier
(PA) behavioral modeling, due to their excellent approximation capability. Recently, different …

Radio-frequency fingerprinting (RFF) exploiting hardware characteristics has been
employed for device recognition to enhance the overall security. However, the performance …