在模式切换模式下同时设计反射和传输RIS,以协助NOMA系统
Xiaoping Zhou1, Hanqi Wang1, Jiajia Chen1
1The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
同时发射和反射可重新配置的智能表面 (STAR-RISs) 通过同时反射和发射信号来增强无线通信. 与传统的RIS-NOMA系统相比,这种STAR-RIS辅助的NOMA系统显著提高了用户可实现的费率.
科学领域:
- 无线通信是一种无线通信.
- 信号处理 信号处理
- 信息理论是信息理论.
背景情况:
- 传统的可重新配置的智能表面 (RIS) 主要集中在信号反射上,限制了它们在需要同时传输和反射的场景中的应用.
- 同时发射和反射可重新配置的智能表面 (STAR-RISs) 通过管理发射和反射的信号,提供了增强的信号覆盖和灵活性.
- 非对角多重接入 (NOMA) 是提高无线网络频谱效率的关键技术.
研究的目的:
- 为了最大限度地提高 STAR-RIS 辅助的 NOMA 下链通信系统中可实现的用户率.
- 在模式切换协议下,共同优化功率分配系数,主动光束成形和STAR-RIS光束成形.
- 调查STAR-RIS-NOMA在传统RIS-NOMA系统中的性能提升.
主要方法:
- 使用统一的多重近似和投影 (UMAP) 提取频道信息.
- 通过基于频道特征的模糊C-平均集群 (FCM) 来聚类STAR-RIS元素和用户.
- 将优化问题分解为三个子问题,使用交替优化,通过惩罚函数解决.
主要成果:
- 拟议的STAR-RIS-NOMA系统与传统的RIS-NOMA系统相比,实现了更高的可实现率.
- 使用60个RIS元素,STAR-RIS-NOMA系统显示可实现率增加了约18%.
- 功率分配,主动光束成形和STAR-RIS光束成形的联合优化有效地提高了系统性能.
结论:
- 在无线通信系统中,STAR-RIS技术提供了显著的优势,特别是当与NOMA集成时.
- 拟议的优化框架有效地最大化了STAR-RIS-NOMA系统中用户可实现的速度.
- 基于UMAP和FCM的通道分析为优化STAR-RIS辅助通信系统提供了有效的方法.
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