频谱传感,集群算法和能量采集技术用于基于认知无线电的物联网网络
Xavier Fernando1, George Lăzăroiu1,2
1Intelligent Communication and Computing Laboratory, Toronto Metropolitan University, Toronto, ON M5B 2K3, Canada.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
这篇评论探讨了认知无线电物联网网络中的频谱传感,集群和能量采集. 调查结果强调了它们在6G无线通信中提高效率的综合潜力.
科学领域:
- 无线通信无线通信
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
- 认知无线电网络 认知无线电网络
背景情况:
- 认知无线电对于有效利用频谱至关重要.
- 频谱传感优化了认知无线电网络操作.
- 能源采集对于可持续的物联网网络至关重要.
研究的目的:
- 在认知无线电物联网网络中识别频谱传感,集群算法和能量采集之间的相关性.
- 在基于深度学习的,非对角的,多重访问技术的背景下分析这些相关性.
- 为6G无线通信网络和物联网设备提供见解.
主要方法:
- 系统审查遵循系统审查和元分析 (PRISMA) 准则的首选报告项目.
- 使用基于Web的Shiny应用程序进行搜索和选.
- 员工审查软件 (AMSTAR,DistillerSR等等) 提供了更多信息. 用于质量评估.
- 应用文献测量映射 (维度) 和布局算法 (VOSviewer) 用于数据可视化.
主要成果:
- 频谱传感优化了认知无线电网络的性能.
- 合作共享频谱可以提高频谱和能源效率.
- 同时无线信息和功率传输 (SWIPT) 是物联网设备的关键.
结论:
- 集成频谱传感,集群和能源采集对于高效的认知无线电物联网网络至关重要.
- 这些技术共同改善了6G的频谱和能源效率.
- 进一步的研究可以优化这些网络的基于深度学习的非对角多重访问.
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