Reconfigurable Intelligent Surface Empowered Full Duplex Systems: Opportunities and Challenges

Reconfigurable intelligent surfaces (RISs) have emerged as a promising technology in wireless communications. Simultaneously transmitting and reflecting RIS (STAR-RISs) in particular have garnered significant attention due to their dual capabilities of simultaneous transmission and reflection, underscoring their potential applications in critical scenarios within the forthcoming sixth-generation (6G) technology landscape. Moreover, full-duplex (FD) systems have emerged as a breakthrough research direction in wireless transmission technology due to their high spectral efficiency. This article explores the application potential of STAR-RIS in FD systems for future wireless communications, presenting an innovative technology that provides robust self-interference cancellation (SIC) capabilities for FD systems. We utilize the refraction functionality of STAR-RIS enhances the transmission capacity of FD systems, while its reflection functionality is used to eliminate self interference within the FD system. We delve into the applications of two different types of STAR-RIS in FD systems and compare their performance through simulations. Furthermore, we discuss the performance differences of STAR-RIS empowered FD systems under various configurations in a case study, and demonstrate the superiority of the proposed deep learning-based optimization algorithm. Finally, we discuss possible future research directions for STAR-RIS empowered FD systems.

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Publication Details

Journal
IEEE Communications Standards Magazine
Published
2024-12-01
DOI
https://doi.org/10.1109/mcomstd.0001.2400025
Citations
5
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
1.06

Funders

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article

Reconfigurable Intelligent Surface Empowered Full Duplex Systems: Opportunities and Challenges

Chong Huang, Gaojie Chen, Yun Wen, Pei Xiao et al.
5 citations
IEEE Communications Standards Magazine
Advanced Materials and Mechanics
1.06
article

Reconfigurable Intelligent Surface Empowered Full Duplex Systems: Opportunities and Challenges

Chong Huang, Gaojie Chen, Yun Wen, Pei Xiao, Zhen Gao, Long Zhang
article en
5 citations

Abstract

Reconfigurable intelligent surfaces (RISs) have emerged as a promising technology in wireless communications. Simultaneously transmitting and reflecting RIS (STAR-RISs) in particular have garnered significant attention due to their dual capabilities of simultaneous transmission and reflection, underscoring their potential applications in critical scenarios within the forthcoming sixth-generation (6G) technology landscape. Moreover, full-duplex (FD) systems have emerged as a breakthrough research direction in wireless transmission technology due to their high spectral efficiency. This article explores the application potential of STAR-RIS in FD systems for future wireless communications, presenting an innovative technology that provides robust self-interference cancellation (SIC) capabilities for FD systems. We utilize the refraction functionality of STAR-RIS enhances the transmission capacity of FD systems, while its reflection functionality is used to eliminate self interference within the FD system. We delve into the applications of two different types of STAR-RIS in FD systems and compare their performance through simulations. Furthermore, we discuss the performance differences of STAR-RIS empowered FD systems under various configurations in a case study, and demonstrate the superiority of the proposed deep learning-based optimization algorithm. Finally, we discuss possible future research directions for STAR-RIS empowered FD systems.

IEEE Communications Standards MagazineVol. 8(4)
Beijing Institute of Technology (CN), Sun Yat-sen University (CN), University of Surrey (GB), Peng Cheng Laboratory (CN), State Key Laboratory of Optoelectronic Materials and Technology
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Engineering and Physical Sciences Research Council, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 25%
Advanced Materials and Mechanics
1.06
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