All Outputs (2)

Graph Neural Network Based Beamforming in D2D Wireless Networks (2021)
Conference Proceeding
Chen, T., You, M., Zheng, G., & Lambotharan, S. (2021). Graph Neural Network Based Beamforming in D2D Wireless Networks. In WSA 2021: 25th International ITG Workshop on Smart Antennas : 10-21 November, 2021, EURECOM, French Riviera

An unsupervised graph neural network (GNN) approach is proposed to solve the beamforming design problem in device-to-device (D2D) wireless networks. Instead of directly learning the beamforming, the GNN is utilized to learn primal power and dual vari... Read More about Graph Neural Network Based Beamforming in D2D Wireless Networks.

A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming (2021)
Conference Proceeding
You, M., Zheng, G., & Sun, H. (2021). A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming. . https://doi.org/10.1109/ICC42927.2021.9500736

This paper studies the long-standing problem of outage-constrained robust downlink beamforming in multi-user multi-antenna wireless communications systems. State of the art solutions have very high computational complexity which poses a major challen... Read More about A Data Augmentation based DNN Approach for Outage-Constrained Robust Beamforming.