Deep Learning-Based Low-Complexity Channel Impulse Response Estimation for Resource Management of Underwater Communication Network
Author:
Affiliation:
1. Inha University,Department of Electronics and Computer Engineering,Incheon,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624687/10624749/10625422.pdf?arnumber=10625422
Reference6 articles.
1. An Energy-Balanced Trust Cloud Migration Scheme for Underwater Acoustic Sensor Networks
2. UAV-Aided Cooperative Data Collection Scheme for Ocean Monitoring Networks
3. Self-Adaptive Resource Allocation in Underwater Acoustic Interference Channel: A Reinforcement Learning Approach
4. Channel State Information Prediction for Adaptive Underwater Acoustic Downlink OFDMA System: Deep Neural Networks Based Approach
5. Underwater acoustic channel modeling using BELLHOP ray tracing method
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