A Novel CNN-based Autoencoder with Channel Feedback for Intelligent Maritime Communications
Author:
Affiliation:
1. Information Science and Technology Dalian Maritime University,Dalian,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9880588/9880614/09880798.pdf?arnumber=9880798
Reference16 articles.
1. A CNN-Based End-to-End Learning Framework Toward Intelligent Communication Systems
2. Impact of Action-Dependent State and Channel Feedback on Gaussian Wiretap Channels
3. Feedback Enhances the Security of State-Dependent Degraded Broadcast Channels With Confidential Messages
4. Wireless Channel Models for Maritime Communications
5. Measurement and Analysis on Land-to-Ship Offshore Wireless Channel in 2.4 GHz
Cited by 2 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. A Deep Semantic Autoencoder for Maritime Wireless Communications;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10
2. A DenseNet-Based Learning Framework Toward Maritime End-to-End Autoencoder Communication Systems;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10
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