Radio transformer networks: Attention models for learning to synchronize in wireless systems

Author:

O'Shea Timothy J.,Pemula Latha,Batra Dhruv,Clancy T. Charles

Publisher

IEEE

Cited by 53 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep hybrid transformer network for robust modulation classification in wireless communications;Knowledge-Based Systems;2024-09

2. CRNN-ResNet: Combined CRNN and ResNet Networks for OFDM Receivers;IEEE Transactions on Cognitive Communications and Networking;2024-08

3. When Diffusion Meets AMR: A Multi-Channel Fused Graph Transformer for Automatic Modulation Recognition under Large CFOs and SROs;2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB);2024-06-19

4. Auto-Regressive RF Synchronization Using Deep-Learning;2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN);2024-05-05

5. An Ultra Lightweight Neural Network for Automatic Modulation Classification in Drone Communications;2024-04-19

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