用于STAR-RIS辅助NOMA的束形设计,具有二进制和合相位移的NOMA
Yongfei Liu1, Yuhuan Wang1,2, Weizhang Xu1,2
1Engineering Research Center of Digital Audio and Video Ministry of Education, Communication University of China, Beijing 100024, China.
Entropy (Basel, Switzerland)
|February 26, 2025
概括
这项研究优化了光束成型,用于在非直角多个接入系统 (NOMA) 中同时传输和反射可重新配置的智能表面 (STAR-RIS). 拟议的方法有效地提高了系统的吞吐量和性能.
科学领域:
- 无线通信系统无线通信系统
- 智能反射表面是智能反射表面.
- 信号处理 信号处理
背景情况:
- 非对角多重访问 (NOMA) 系统在最大化吞吐量和性能方面面临着挑战.
- 同时传输和反射可重新配置的智能表面 (STAR-RIS) 为增强无线通信环境提供了一个有前途的解决方案.
- 积极和被动光束成形的联合优化对于释放NOMA系统中STAR-RIS的全部潜力至关重要.
研究的目的:
- 研究STAR-RIS辅助NOMA系统中主动和被动光束成形的联合优化.
- 为了最大限度地提高系统吞吐量并提高整体性能.
- 为这个优化问题开发一个高效的算法框架.
主要方法:
- 为联合优化提出了一个代算法框架.
- 分数编程 (FP) 用于将非形主动束成形问题重新构成形的问题.
- 尼斯特罗夫的推断技术被用来加快融合并降低计算负载.
- 对于STAR-RIS相位优化,使用二进制相位设计方法,将其视为封闭式解决方案的单元圆区分问题.
主要成果:
- 拟议的算法框架与现有的基准算法相比,显示出更高的性能.
- 在系统吞吐量方面取得了显著的改进.
- 观察到提高了计算效率,减少了处理时间.
- 该方法在STAR-RIS辅助的NOMA系统中被证明是有效和实用的.
结论:
- 使用拟议的框架,对主动和被动光束成型的联合优化对于STAR-RIS辅助的NOMA系统非常有效.
- 开发的算法为提高无线通信性能提供了实用和高效的解决方案.
- 这项研究有助于在未来的无线网络中推进智能反射表面技术.
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