In a recent study published in IEICE Electronics Express, researchers from the Tokyo Institute of Technology propose a novel method for digital pre-distortion (DPD) in mmWave RF-PAs using neural networks. This approach addresses the challenges of linearity and power efficiency in telecommunication systems by leveraging high-speed digital signal processing and neural network algorithms. The researchers demonstrate the effectiveness of their technique on leading-edge hardware, opening up possibilities for its application in emerging 5G and beyond-5G networks.
