Learning to Beamform for Dual-Functional MIMO Radar-Communication Systems
Author:
Affiliation:
1. School of Information Science and Technology, ShanghaiTech University,Shanghai,China,201210
2. School of Computer Science and Engineering, Sun Yat-sen University,Guangzhou,China,510275
Funder
National Natural Science Foundation of China (NSFC)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10278505/10278554/10279159.pdf?arnumber=10279159
Reference18 articles.
1. Learning-Based Predictive Beamforming for Integrated Sensing and Communication in Vehicular Networks
2. Algorithm Unrolling for Massive Access via Deep Neural Network with Theoretical Guarantee
3. Channel Estimation and Low-complexity Beamforming Design for Passive Intelligent Surface Assisted MISO Wireless Energy Transfer
4. Knowledge-Guided Learning for Transceiver Design in Over-the-Air Federated Learning
5. A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training
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