A generalized dual-input digital predistortion (DPD) methodology for supply-modulated (SM)
power amplifiers (PAs) is proposed. Contrary to classical approaches, the SM and the radio …

A novel design theory and the methodology are presented for dual-input Doherty power
amplifiers (DPAs) in which the auxiliary transistor does not fully turn off at backoff power …

This paper reports a new architecture of power amplifiers (PA), for which machine learning is
applied in real-time to adaptively optimize PA performance. For varying input stimuli such as …

In this paper, we propose an efficient system approach to improve the power efficiency of
dual-input Doherty power amplifier (DIDPA) with maintaining its linearity level. An auto …

This paper proposes an auto-tuning approach to find the optimal configuration of a dual-
input Doherty power amplifier (DIDPA) to enhance power efficiency while maintaining a …

High power amplifier technologies for base transceiver stations (BTSs) for the 5th generation
(5G) mobile communication systems and so-called beyond 5G (B5G) systems are reviewed …

In this paper, a non-dominated sorting genetic algorithm assisted by Gaussian Process (GP-
NSGA-II) is proposed. The Gaussian regression prediction is introduced into the …

This article focuses on the recent studies of introducing machine learning techniques for
radio frequency power amplifiers online operational conditions optimization, primarily at …

The ever-increasing data rate and number of connections in mobile communication offer
exciting user experiences in everyday life. Technological developments for beyond-5G and …

This Ph. D. work contributes to the digital predistortion linearization technique of power
amplifiers. Power Amplifier is one of the most critical elements of radiocommunication …