Deep Learning-Based Signal-to-Noise Ratio Prediction for Realistic Wireless Communication.
Qiuheng ZhouWei JiangDonglin WangHans D. SchottenPublished in: VTC Spring (2022)
Keyphrases
- signal to noise ratio
- wireless communication
- deep learning
- root mean square error
- wireless networks
- communication networks
- wireless sensor networks
- computer simulation
- unsupervised learning
- machine learning
- mental models
- orthogonal frequency division multiplexing
- weakly supervised
- mobile communication
- edge detection
- wireless channels
- data sets
- received signal
- decision support system
- active learning