在绿色认知 WPCN 中非线性 EH 技术的性能优化
Huajun Chen1,2, Lina Yuan3, Linjie Wang1
1School of Data Science, Tongren University, Tongren, China.
Scientific reports
|July 2, 2025
概括
本研究介绍了绿色认知无线驱动通信网络 (WPCN) 的集群协作计划. 该方法提高了数据传输的公平性和光谱效率,使用非线性能量采集和光束成型,即使在严格的干扰约束下.
科学领域:
- 无线通信网络 无线通信网络
- 绿色计算 绿色计算
- 收集能源 收集能源
背景情况:
- 认知无线支持通信网络 (WPCN) 面临用户不公平问题.
- 混合接入点 (HAP) 提供电力,并从无线设备 (WD) 收集数据.
- 非线性能量采集和光束成型是现代WPCN的关键技术.
研究的目的:
- 在绿色认知WPCN中解决用户不公平问题.
- 为了提高数据传输的公平性和频谱效率.
- 在干扰温度约束 (ITC) 下优化主系统性能.
主要方法:
- 提出了一个集群协作计划,指定了一个集群负责人 (CH).
- 实施的非线性能量采集和能量束成形技术.
- 考虑干扰,优化主系统数据传输效率.
主要成果:
- 拟议的方案大大提高了数据传输速率的公平性.
- 认知WPCNs的光谱效率明显提高.
- 系统性能在严格的干扰温度约束 (ITC) 下保持.
结论:
- 集群协作计划有效地解决了认知WPCN中的用户不公平问题.
- 非线性能量采集和光束成形的整合提高了系统的效率.
- 这种方法确保了主要系统的强大性能,并加强了WPCN的公平性.
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