Predistortion-based linearization for 5G and beyond millimeter-wave transceiver systems: A comprehensive survey

MF Haider, F You, S He, T Rahkonen… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The next-generation (5G/6G) wireless communication aims to leapfrog the currently
occupied sub-6 GHz spectrum to the wideband millimeter-wave (MMW) spectrum. However …

A survey of millimeter-wave communication: Physical-layer technology specifications and enabling transmission technologies

S He, Y Zhang, J Wang, J Zhang, J Ren… - Proceedings of the …, 2021 - ieeexplore.ieee.org
Millimeter-wave (mmWave) frequency bands, which offer abundant underutilized spectral
resources, have been explored and exploited in the past several years to meet the …

Multi-stream spatial digital predistortion for fully-connected hybrid beamforming massive MIMO transmitters

X Liu, W Chen, J Chu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

A joint PAPR reduction and digital predistortion based on real-valued neural networks for OFDM systems

Z Liu, X Hu, W Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Joint satellite-transmitter and ground-receiver digital pre-distortion for active phased arrays in LEO satellite communications

Q Chen, Z Wang, GF Pedersen, M Shen - Remote Sensing, 2022 - mdpi.com
A novel joint satellite-transmitter and ground-receiver (JSG) digital pre-distortion (DPD)(JSG-
DPD) technique is proposed to improve the linearity and power efficiency of the space-borne …

A uniform neural network digital predistortion model of RF power amplifiers for scalable applications

H Wu, W Chen, X Liu, Z Feng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, a uniform neural network (NN) digital predistortion (DPD) model of radio
frequency (RF) power amplifiers (PAs) is proposed for dynamic applications, which is …

Digital predistortion of millimeter-wave arrays using near-field based transmitter observation receivers

AB Ayed, Y Cao, P Mitran… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a novel method to train the digital predistortion (DPD) function in a
radio frequency (RF) beamforming array using feedback signals acquired from a near-field …

A low complexity moving average nested GMP model for digital predistortion of broadband power amplifiers

W Chen, X Liu, J Chu, H Wu, Z Feng… - … on Circuits and …, 2022 - ieeexplore.ieee.org
In this paper, a low complexity moving average nested generalized memory polynomial
model (MAN-GMP) is proposed for digital predistortion (DPD) of broadband power amplifiers …

Digital predistortion of 5G multiuser MIMO transmitters using low-dimensional feature-based model generation

X Wang, Y Li, H Yin, C Yu, Z Yu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, we present a novel digital predistortion (DPD) system which can be updated
quickly and efficiently in response to the dynamic reconfiguration of multiuser multiple-input …

Efficient neural network DPD architecture for hybrid beamforming mMIMO

T Muškatirović-Zekić, N Nešković, D Budimir - Electronics, 2023 - mdpi.com
This paper presents several different Neural Network based DPD architectures for hybrid
beamforming (HBF) mMIMO applications. They are formulated, tested and compared based …