Resource Allocation for IRS-Assisted Networks: A Deep Reinforcement Learning Approach
Author:
Affiliation:
1. National University of Computer and Emerging Sciences,Pakistan
2. The Australian National University,Australia
3. University of Sydney,Australia
4. Ecole de technologie superieure,Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Management of Technology and Innovation,Law,Computer Networks and Communications,Safety, Risk, Reliability and Quality
Link
http://xplorestaging.ieee.org/ielx7/7886829/10287310/10287315.pdf?arnumber=10287315
Reference15 articles.
1. Channel Estimation of IRS-Aided Communication Systems with Hybrid Multiobjective Optimization
2. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
3. Channel Estimation and Hybrid Architectures for RIS-Assisted Communications
4. IRS-Aided Energy-Efficient Secure WBAN Transmission Based on Deep Reinforcement Learning
5. Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning
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