Bishmitaa / CDRN-channel-estimation-IRS

Code for our paper 'Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems'.

CDRN-channel-estimation-IRS

An implementation of our paper Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems (accepted by IEEE Trans. Wireless Commun., doi: 10.1109/TWC.2021.3100148).

For more information, you can visit the Home Page of the first author.

Also, there is another similar work of us: Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications (published at IEEE Wireless Commun. Lett.).

Installation

Please follow the instructions of keras.

Usage

Clone the repository: git clone https://github.com/XML124/CDRN-channel-estimation-IRS.git

1. use the two .m files to generate the training dataset and test dataset.
2. run the CDRN.py to realize the CDRN algorithm.

Citation

If you use our code or if our work is useful for your research, please use the following BibTeX entry:

@article{liu2020deepresidual,
  title={Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User Communications},
  author={Liu, Chang and Liu, Xuemeng and Ng, Derrick Wing Kwan and Yuan, Jinhong},
  journal={IEEE Trans. Wireless Commun.},
  year={2021 [Early Access], doi: 10.1109/TWC.2021.3100148}
}

Contact

Chang Liu([e-mail] / [e-mail])

Xuemeng Liu ([e-mail])

Any comments or suggestions are welcome!