在认知无线电网络中基于混合频谱交换的频谱传感
Lakshminarayanan Vaduganathan1, Shubhangi Neware2, Przemysław Falkowski-Gilski3
1Department of Electrical and Electronics Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi 642003, India.
Entropy (Basel, Switzerland)
|September 28, 2023
概括
认知无线电网络 (CRN) 改善了频谱的使用. 本研究介绍了一种特定组件的协作频谱传感模型 (CSCSSM),用于在CRN中更高效和更强大的频谱传感.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 认知无线电网络 认知无线电网络
背景情况:
- 无线通信的快速发展需要高效的频谱利用.
- 认知无线电网络 (CRN) 允许动态访问未充分利用的频谱频段.
- 对CRN来说,频谱传感 (SS) 对于识别可用的频率至关重要.
研究的目的:
- 为CRN开发一个改进的合作频谱传感 (CSS) 模型.
- 通过考虑信号组件来提高频谱传感的准确性.
- 为了尽量减少在频谱传感过程中的信息损失.
主要方法:
- 引入了一个特定组件的合作频谱传感模型 (CSCSSM).
- 嵌入式组件特定适应估计 (CSAE) 用于平均平方偏差 (MSD) 公式.
- 考虑输入信号的振幅和相位组成部分进行估计.
主要成果:
- 与传统方法相比,拟议的CSCSSM最大限度地减少了信息丢失.
- 实验分析证明了新模型的稳定性.
- 在频谱传感的参数估计中,CSAE方法被证明是有效的.
结论:
- CSCSSM提供了一种更有效的方法,用于CRN中的频谱传感.
- 该方法提高了认知无线电系统的性能和可靠性.
- 精确的功率频谱近似对于高效的CRN运行至关重要.
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