Photonics & Electromagnetics Research Symposium - Fall (P… · 2025

Sustainable Learning Multi-State Modeling of RF Power Amplifiers in Terahertz Communication Systems: Residual Deep Networks and Dynamic Calibration Optimization

X.-W. Meng, X. Hu, B.-Y. Li, Z. Chang, M. Zhou, W.-D. Wang

Published in: 2025 Photonics & Electromagnetics Research Symposium - Fall (PIERS-Fall)
Date: 2025-11-04
Citations: 0

Cite

@article{meng2025sustainable,
  title = {Sustainable Learning Multi-State Modeling of RF Power Amplifiers in Terahertz Communication Systems: Residual Deep Networks and Dynamic Calibration Optimization},
  author = {X.-W. Meng and X. Hu and B.-Y. Li and Z. Chang and M. Zhou and W.-D. Wang},
  year = {2025},
  journal = {2025 Photonics & Electromagnetics Research Symposium - Fall (PIERS-Fall)},
  doi = {10.23919/PIERS-Fall62445.2025.11394014},
  url = {https://doi.org/10.23919/PIERS-Fall62445.2025.11394014},
}