  This study reports a novel hardware-friendly modular architecture for
implementing one dimensional convolutional neural network (1D-CNN) digital
predistortion (DPD) technique to linearize RF power amplifier (PA)
real-time.The modular nature of our design enables DPD system adaptation for
variable resource and timing constraints.Our work also presents a co-simulation
architecture to verify the DPD performance with an actual power amplifier
hardware-in-the-loop.The experimental results with 100 MHz signals show that
the proposed 1D-CNN obtains superior performance compared with other neural
network architectures for real-time DPD application.
