Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology
Author:
Affiliation:
1. Dipartimento di Elettronica, Politecnico di Torino, Turin, Italy
2. Electrical Engineering, Qatar University, Doha, Qatar
3. Computer Science and Engineering, Qatar University, Doha, Qatar
Funder
Qatar National Research Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8782661/10362961/10413200.pdf?arnumber=10413200
Reference22 articles.
1. Seven Defining Features of Terahertz (THz) Wireless Systems: A Fellowship of Communication and Sensing
2. Quality of Experience for Spatial Cognitive Systems within Multiple Antenna Scenarios
3. Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in Future Wireless Networks
4. Towards intelligent reflecting surface empowered 6G terahertz communications: A survey
5. Achievable Rate Analysis of Two-Hop Interference Channel With Coordinated IRS Relay
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