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Group-Connected Impedance Network of RIS-Assisted Rate-Splitting Multiple Access in MU-MIMO Wireless Communication
Min-A Kim1,2, Seung-Geun Yoo1,2, Hyoung-Do Kim1,2
1Department of Information and Communication Engineering, Sejong University, Seoul 05006, Republic of Korea.
Sensors (Basel, Switzerland)
|April 28, 2023
Summary
This study introduces a new reconfigurable intelligent surface (RIS) and rate-splitting multiple access (RSMA) system for 6G wireless networks. The proposed scheme enhances sum-rate performance and interference management, outperforming traditional methods.
Area of Science:
- Wireless Communication Systems
- Signal Processing
- Electromagnetics
Background:
- Reconfigurable intelligent surfaces (RIS) and rate-splitting multiple access (RSMA) are key technologies for future wireless systems (B5G/6G).
- Conventional RIS designs limit sum-rate performance due to impedance configurations.
- Optimizing RIS element grouping and rate-splitting (RS) power-splitting ratios is crucial for adaptability and practicality.
Purpose of the Study:
- To propose an optimized RIS element grouping scheme for user scheduling.
- To develop a practical solution for optimizing the RS power-splitting ratio using fractional programming (FP).
- To evaluate the performance of the proposed RIS-assisted RSMA system.
Main Methods:
- A novel grouping scheme for RIS elements based on user scheduling.
- Fractional programming (FP) to simplify and optimize the RS power-splitting ratio.
- Comparative simulations against conventional RIS-assisted spatial-division multiple access (SDMA).
Main Results:
- The proposed RIS-assisted RSMA system demonstrates significantly higher sum-rate performance.
- The system exhibits adaptive channel performance and flexible interference management capabilities.
- The optimized RS power-splitting ratio enhances system practicality.
Conclusions:
- The proposed RIS-assisted RSMA scheme offers superior performance for B5G and 6G wireless systems.
- The adaptive nature and flexible interference management make it suitable for future networks.
- This approach addresses limitations of conventional RIS and simplifies RS power-splitting optimization.
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