[1]李素月,李 娟,张亚宾,等.ARIS 辅助多天线 RSMA 系统中断分析与优化[J].郑州大学学报(工学版),2026,47(4):80-88.[doi:10.13705/j.issn.1671-6833.2026.04.008]
　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(4):80-88.[doi:10.13705/j.issn.1671-6833.2026.04.008]
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ARIS 辅助多天线 RSMA 系统中断分析与优化()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年4期
页码:
80-88
栏目:
出版日期:
2026-07-10

文章信息/Info

Title:
Outage Analysis and Optimization of ARIS-aided Multi-antenna RSMA Systems
文章编号:
1671-6833(2026)04-0080-09
作者:
李素月, 李 娟, 张亚宾, 王安红
太原科技大学 电子信息工程学院,山西 太原 030024
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
关键词:
天线选择;  有源可重构智能超表面;  速率分拆多址接入;  选择合并;  最大比合并
Keywords:
antenna selection;  active reconfigurable intelligent surface;  rate-splitting multiple access;  selection combining;  maximal ratio combining
分类号:
TN929. 5TP301
DOI:
10.13705/j.issn.1671-6833.2026.04.008
文献标志码:
A
摘要:
针对多天线多用户场景下的有源可重构智能超表面（ARIS）辅助速率分拆多址接入（RSMA）通信系统，提出了一种结合基站端天线选择与用户端合并技术的传输框架。分别基于选择合并（SC）和最大比合并（MRC），推导了用户级联信道的统计特性，并建立了相应的中断概率分析模型，进而导出了多天线多用户场景下的中断概率表达式。在此基础上，以最小化系统中断概率为目标，构建了两类合并技术下的功率优化问题，并利用差分进化（DE）算法对RSMA功率分配进行求解。仿真结果表明：用户端多天线配置及合理的天线选择策略能够显著降低系统中断概率，验证了ARIS‑RSMA系统在复杂场景下的性能优势与鲁棒性。
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 based on selection combining (SC) and maximal ratio combining (MRC), then 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, for both combining schemes, power allocation optimization problems were formulated 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 confirm the scalability and robustness of the proposed ARIS‑RSMA framework in complex communication environments.

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更新日期/Last Update: 2026-09-22