DRL-based Energy Efficient Resource Allocation for STAR-RIS Assisted Coordinated Multi-cell Networks
Author:
Affiliation:
1. School of Computer Science and Engineering, Northeastern University,Shenyang,China
2. Queen Mary University of London,London,U.K.,E1 4NS
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001595.pdf?arnumber=10001595
Reference10 articles.
1. Simultaneously transmitting and reflecting (STAR) RIS aided wireless communications;mu;IEEE Trans Wireless Commun,2021
2. STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces
3. DRL-Based Energy-Efficient Resource Allocation Frameworks for Uplink NOMA Systems
4. Energy-Efficient CoMP Precoding in Heterogeneous Networks
5. Rate maximization in multi-antenna broadcast channels with linear preprocessing
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1. Secure Communication Optimization in NOMA Systems With UAV-Mounted STAR-RIS;IEEE Transactions on Information Forensics and Security;2024
2. A Survey on Federated Learning for Reconfigurable Intelligent Metasurfaces-Aided Wireless Networks;IEEE Open Journal of the Communications Society;2024
3. Deep Reinforcement Learning Based Energy-Efficient Design for STAR-IRS Assisted V2V Users;Communications in Computer and Information Science;2024
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