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 …
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 …
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
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 …
(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
In optical fiber communication, optical and electrical components introduce nonlinearities,
which require effective compensation to attain highest data rates. In particular, in short reach …
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
High speed optical transmission systems suffer from intersymbol interference (ISI) and
colored noise induced by nonlinear bandwidth limited optical and electrical components. As …
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
This paper presents two novel neural network models for radio-frequency (RF) power
amplifiers (PAs): vector decomposed time-delay neural network (VDTDNN) model and …
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 …
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
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 …
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
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 …
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
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 …
demand, which will bring new challenges to digital predistortion (DPD). In this article, we …