TR2022-007

A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion

    •  De Silva, U., Ma, R., Koike-Akino, T., Yamashita, A., Nakamizo, H., "A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion", IEEE Radio and Wireless Symposium (RWS), January 2022.
      BibTeX TR2022-007 PDF
      • @inproceedings{DeSilva2022jan,
      • author = {De Silva, Udara and Ma, Rui and Koike-Akino, Toshiaki and Yamashita, Ao and Nakamizo, Hideyuki},
      • title = {{A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion}},
      • booktitle = {IEEE Radio and Wireless Symposium (RWS)},
      • year = 2022,
      • month = jan,
      • issn = {2473-4640},
      • isbn = {978-1-6654-3472-0},
      • url = {https://www.merl.com/publications/TR2022-007}
      • }
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  • Research Areas:

    Communications, Electronic and Photonic Devices, Machine Learning, Signal Processing

Abstract:

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 1DCNN obtains superior performance compared with other neural network architectures for real-time DPD application.

 

  • Related Publication

  •  De Silva, U., Ma, R., Koike-Akino, T., Yamashita, A., Nakamizo, H., "Modular 1D-CNN Architecture for Real-time Digital Pre-distortion", arXiv, October 2021.
    BibTeX arXiv
    • @article{DeSilva2021oct,
    • author = {De Silva, Udara and Ma, Rui and Koike-Akino, Toshiaki and Yamashita, Ao and Nakamizo, Hideyuki},
    • title = {{Modular 1D-CNN Architecture for Real-time Digital Pre-distortion}},
    • journal = {arXiv},
    • year = 2021,
    • month = oct,
    • url = {https://arxiv.org/abs/2111.09637}
    • }