5G: The convergence of wireless communications

R Chávez-Santiago, M Szydełko, A Kliks… - Wireless Personal …, 2015 - Springer
As the rollout of 4G mobile communication networks takes place, representatives of industry
and academia have started to look into the technological developments toward the next …

Gated dynamic neural network model for digital predistortion of RF power amplifiers with varying transmission configurations

C Jiang, G Yang, R Han, J Tan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The future intelligent transmitter will dynamically adjust the transmission configuration on
demand, which will bring new challenges to digital predistortion (DPD). In this article, we …

Complexity-reduced model adaptation for digital predistortion of RF power amplifiers with pretraining-based feature extraction

Y Li, X Wang, A Zhu - IEEE Transactions on Microwave Theory …, 2020 - ieeexplore.ieee.org
In this article, we present a new method to reduce the model adaptation complexity for digital
predistortion (DPD) of radio frequency (RF) power amplifiers (PAs) under varying operating …

Power adaptive digital predistortion for wideband RF power amplifiers with dynamic power transmission

Y Guo, C Yu, A Zhu - IEEE Transactions on Microwave Theory …, 2015 - ieeexplore.ieee.org
To reduce power consumption of wireless transmitters, the transmission power level of RF
power amplifiers (PAs) may dynamically change according to real-time data traffic. This …

Continual learning digital predistortion of RF power amplifier for 6G AI-empowered wireless communication

Y Yu, P Chen, XW Zhu, J Zhai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Artificial intelligence (AI) provides opportunities to enable high-efficiency wireless
communication to dynamically adapt to the local environments and user demands. In this …

On-demand real-time optimizable dynamic model sizing for digital predistortion of broadband RF power amplifiers

Y Li, A Zhu - IEEE Transactions on Microwave Theory and …, 2020 - ieeexplore.ieee.org
In this article, we present a dynamic model sizing approach for digital predistortion (DPD) of
broadband radio-frequency power amplifiers. By employing a novel model structure …

Dynamic Activation Digital Predistortion of RF Power Amplifiers for 6G Dynamic Spectrum Aggregation Applications

Y Yu, L Yu, J Zhai, P Chen, C Yu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, a novel dynamic activation digital predistortion (DPD) technique is proposed to
linearize radio frequency (RF) power amplifiers (PAs) for 6G dynamic spectrum aggregation …

Data-clustering-assisted digital predistortion for 5G millimeter-wave beamforming transmitters with multiple dynamic configurations

H Yin, Z Yu, C Yu, J Jing, XW Zhu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Motivated by data science, in this article, a data-clustering-assisted digital predistortion
(DPD) is proposed to linearize millimeter-wave (mmWave) beamforming transmitters with …

Low-feedback sampling rate digital predistortion using deep neural network for wideband wireless transmitters

X Hu, Z Liu, W Wang, M Helaoui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Self-IQ-demodulation based compensation scheme of frequency-dependent IQ imbalance for wideband direct-conversion transmitters

W Li, Y Zhang, LK Huang, J Cosmas… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
A low cost frequency-dependent (FD) I/Q imbalance self-compensation scheme is
investigated in this paper. The direct conversion transmitters are widely used in wireless …