A digital predistorter, modeled by an augmented real-valued time-delay neural network
(ARVTDNN), has been proposed and found suitable to mitigate the nonlinear distortions of …

In this paper, a novel multi-stream spatial digital predistortion (DPD) technique is proposed
to model and linearize the fully-connected (FC) hybrid beamforming (HBF) transmitters. The …

The peak-to-average power ratio (PAPR) reduction and linearization techniques are both
effective methods to improve the efficiency of the transmitter in digital video broadcasting …

We propose a digitally linearized radio-over fiber (RoF) downlink transmitter architecture for
cloud radio access networks (C-RANs), and we demonstrate its proof of principle in the near …

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 …

A novel digital predistortion (DPD) with an ultralow feedback sampling rate is proposed for
wideband wireless communications. Analytical groundwork is carried out to support the …

This article proposes a power scalable beam-oriented digital predistortion (PSBO-DPD)
architecture suitable for linearizing PAs in compact hybrid massive multiple-input multiple …

In this paper, a low-feedback-sampling-rate digital predistortion (DPD) method is proposed
for wideband wireless transmitters and radio-frequency power amplifiers (PAs). This DPD …

In this paper, we propose a low-cost data-acquisition approach for model extraction of digital
predistortion (DPD) of RF power amplifiers. The proposed approach utilizes only 1-bit …

Wireless communication infrastructure is a key enabling technology for smart cities. This
paper investigates a novel technique to enhance the performance of 5G base stations by …