Energy-Efficient Multi-RIS-Aided Rate-Splitting Multiple Access: A Graph Neural Network Approach-Reference-Cited by-同舟云学术

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Energy-Efficient Multi-RIS-Aided Rate-Splitting Multiple Access: A Graph Neural Network Approach

Published:2024-07 Issue:7 Volume:13 Page:2003-2007
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Chen Bing-Jia¹,Chang Ronald Y.¹^ORCID,Chien Feng-Tsun²^ORCID,Poor H. Vincent³^ORCID

Affiliation:

1. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan

2. Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

3. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA

Funder

National Science and Technology Council, Taiwan

MediaTek Advanced Research Center

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/5962382/10592855/10530383-aam.pdf

Reference16 articles.

1. Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends

2. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication

3. Rate-Splitting Multiple Access for 6G—Part III: Interplay With Reconfigurable Intelligent Surfaces

4. Rate-Splitting Multiple Access and Dynamic User Clustering for Sum-Rate Maximization in Multiple RISs-Aided Uplink mmWave System

5. Fully Connected Reconfigurable Intelligent Surface Aided Rate-Splitting Multiple Access for Multi-User Multi-Antenna Transmission

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