[1]LI Suyue,LI Juan,ZHANG Yabin,et al.Outage Analysis and Optimization of ARIS-aided Multi-antenna RSMA Systems[J].Journal of Zhengzhou University (Engineering Science),2026,47(XX):1-9.[doi:10.13705/j.issn.1671-6833.2026.04.008]
Copy
Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
47
Number of periods:
2026 XX
Page number:
1-9
Column:
Public date:
2026-09-10
- Title:
-
Outage Analysis and Optimization of ARIS-aided Multi-antenna RSMA Systems
- Author(s):
-
LI Suyue; LI Juan; ZHANG Yabin; WANG Anhong
-
School of Electronic and Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
-
- Keywords:
-
antenna selection; active reconfigurable intelligent surface; rate-splitting multiple access; selection combining; maximal ratio combining
- CLC:
-
TN929.5TP301
- DOI:
-
10.13705/j.issn.1671-6833.2026.04.008
- Abstract:
-
An active reconfigurable intelligent surface (ARIS)-aided rate-splitting multiple access (RSMA) system in a multi-antenna multi-user scenario was investigated, and a transmission framework that integrated base station antenna selection with user side combining techniques was proposed. The statistical characteristics of cascaded user channels were derived under selection combining (SC) and maximal ratio combining (MRC), based on which an outage probability analysis model was established, yielding analytical expressions for the outage probability in multi-antenna multi-user scenarios. Furthermore, to minimize the system outage probability, power allocation optimization problems were formulated for both combining schemes and solved via a differential evolution (DE) algorithm. Simulation results demonstrated that deploying multiple antennas at the user side and adopting appropriate antenna selection strategies could significantly reduce the outage probability, thereby confirming the scalability and robustness of the proposed ARIS-RSMA framework in complex communication environments.