This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …

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 …

We propose a novel digital pre-distortion (DPD) based on neural networks for high-baudrate
optical coherent transmitters. We demonstrate experimentally that it outperforms an …

High-symbol-rate coherentoptical transceivers suffer more from the critical responses of
transceiver components at high frequency, especially when applying a higher order …

Photonics | Free Full-Text | AI-Enabled Intelligent Visible Light Communications: Challenges,
Progress, and Future Next Article in Journal Performance Enhancement of DWDM Optical Fiber …

Neural network (NN)-based models are perceived as being accurate models for power
amplifier (PA) behavioral modeling and digital predistortion (DPD) applications. However …

The convolutional neural network (CNN) based power amplifier (PA) model has been
proven to reduce the model complexity significantly. However, due to the calculation mode …

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 …

One fundamental difficulty in multiphysics numerical simulation is the complex interactions
between different physics domains leading to plenty of computational costs. Although neural …

Artificial intelligence (AI) provides opportunities to enable high-efficiency wireless
communication to dynamically adapt to the local environments and user demands. In this …