增强可重新配置的智能表面启用认知无线电网络第六代及以后:性能分析和参数优化.
1Faculty of Electronics Technology (FET), Industrial University of Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究介绍了一种新的系统,将可重新配置的智能表面 (RIS) 与认知无线电 (CR) 集成为未来的6G网络. 优化RIS反射器配置可以提高性能,并防止RIS辅助CR系统中断.
科学领域:
- 无线通信工程 无线通信工程
- 信号处理 信号处理
- 信息理论 信息理论
背景情况:
- 可重新配置的智能表面 (RIS) 和认知无线电 (CR) 的整合对于推进无线通信系统至关重要.
- 像6G这样的未来网络需要创新的解决方案来有效利用频谱和增强连接.
研究的目的:
- 提出和分析一种新的RIS辅助CR网络架构.
- 在各种条件和参数下调查拟议系统的性能.
- 为未来的无线网络提供优化RIS辅助CR系统的见解.
主要方法:
- 对二级用户 (SU) 的性能指标的数学推导.
- 使用蒙特卡洛模拟验证分析结果.
- 基于信号噪声比 (SNR),功率分配,反射器数量和块长度的系统性能分析.
主要成果:
- 性能对反射器数量,色强度和相关系数都很敏感.
- 优化的反射器配置可以防止系统完全中断,并提高整体性能.
- 拟议的RIS辅助CR系统与参考方案相比,表现优越.
结论:
- 拟议的RIS辅助CR系统为未来的无线网络提供了强大而高效的解决方案.
- 参数优化,特别是反射器配置,是最大限度地提高系统性能的关键.
- 这项工作为设计和部署先进的无线通信系统提供了宝贵的见解.
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