When Optimization Meets Machine Learning: The Case of IRS-Assisted Wireless Networks
Author:
Affiliation:
1. Shenzhen Campus of Sun Yat-sen University,China
2. Nanyang Technological University,Singapore
3. Sungkyunkwan University,South Korea
4. Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),UAE
Funder
National Natural Science Foundation of China
National Research Foundation of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
http://xplorestaging.ieee.org/ielx7/65/9785736/09748066.pdf?arnumber=9748066
Reference15 articles.
1. Deep Reinforcement Learning for Energy-Effi-cient Networking With Reconfigurable Intelligent Surfaces;lee;Proc IEEE ICC,0
2. Deep Reinforcement Learning Based Intelligent Reflecting Surface Optimization for MISO Communication Systems
3. Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning
4. Intelligent Reflecting Surface Assisted Anti-Jamming Communications: A Fast Reinforcement Learning Approach
5. Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks for Wireless System Optimization
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