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 …

Linearization as a solution for power amplifier imperfections: A review of methods

A Borel, V Barzdėnas, A Vasjanov - Electronics, 2021 - mdpi.com
Development of 5G networks requires a substantial increase to both spectral and power
efficiency of transmitters. It is known that these two parameters are subjected to a mutual …

Augmented real-valued time-delay neural network for compensation of distortions and impairments in wireless transmitters

D Wang, M Aziz, M Helaoui… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Soft-demapping for short reach optical communication: A comparison of deep neural networks and volterra series

M Schädler, G Böcherer, S Pachnicke - Journal of Lightwave …, 2021 - opg.optica.org
In optical fiber communication, optical and electrical components introduce nonlinearities,
which require effective compensation to attain highest data rates. In particular, in short reach …

Recurrent neural network soft-demapping for nonlinear ISI in 800Gbit/s DWDM coherent optical transmissions

M Schaedler, G Böcherer, F Pittalà… - Journal of Lightwave …, 2021 - ieeexplore.ieee.org
High speed optical transmission systems suffer from intersymbol interference (ISI) and
colored noise induced by nonlinear bandwidth limited optical and electrical components. As …

Vector decomposition based time-delay neural network behavioral model for digital predistortion of RF power amplifiers

Y Zhang, Y Li, F Liu, A Zhu - IEEE Access, 2019 - ieeexplore.ieee.org
This paper presents two novel neural network models for radio-frequency (RF) power
amplifiers (PAs): vector decomposed time-delay neural network (VDTDNN) model and …

Amplified radio-over-fiber system linearization using recurrent neural networks

L Augusto Melo Pereira, LL Mendes… - Journal of Optical …, 2023 - opg.optica.org
Ubiquitous communication is an emergent feature of the future sixth generation of mobile
communication (6G) networks. One of the main challenges of this upcoming mobile network …

Digitally linearized radio-over fiber transmitter architecture for cloud radio access network's downlink

M Noweir, Q Zhou, A Kwan, R Valivarthi… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
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 …

Deep neural network equalization for optical short reach communication

M Schaedler, C Bluemm, M Kuschnerov, F Pittalà… - Applied Sciences, 2019 - mdpi.com
Nonlinear distortion has always been a challenge for optical communication due to the
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …

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 …