用户为中心的无细胞大规模多输入多输出系统,有噪声道增益估计和视线:贝克曼分布方法
Danilo B T Almeida1, Marcelo S Alencar2, Wamberto J L Queiroz1
1Department of Electrical Engineering, Federal University of Campina Grande, Campina Grande 58429-900, Brazil.
Entropy (Basel, Switzerland)
|March 28, 2025
概括
这项研究表明,贝克曼分布在以用户为中心的无细胞系统中准确地模拟了有效通道收益. 这使得能够精确分析信号质量和性能指标,如容量和中断概率.
科学领域:
- 无线通信无线通信
- 信号处理 信号处理
- 信息理论 信息理论
背景情况:
- 以用户为中心的无电池 (UC CF) 系统提供了更好的覆盖范围和容量.
- 准确的通道增益表征对于性能分析至关重要.
- 噪音通道状态信息 (CSI) 和视线 (LoS) 影响系统性能.
研究的目的:
- 分析贝克曼分布,以表征UC CF系统中的有效通道增益.
- 导出信号与干扰加噪声比率 (SINR) 的概率密度函数 (PDF) 和累积密度函数 (CDF).
- 应用这些推导来分析 ergodic 容量 (EC) 和中断概率 (OP).
主要方法:
- 使用贝克曼分布建模有效通道增强包裹.
- 根据贝克曼分布推导即时的SINR PDF和CDF.
- 在EC和OP分析中使用衍生的SINR函数.
主要成果:
- 在UC CF系统中,有效通道收益始终遵循贝克曼分布.
- 贝克曼的PDF和CDF是为了即时SINR而衍生出来的.
- 用SINR特征成功推导出EC和OP的表达式.
结论:
- 贝克曼分布是UC CF系统中有效道增益的合适模型,即使在杂的CSI和LoS.
- 衍生的SINR,EC和OP表达式为系统设计和优化提供了有价值的工具.
- 这项工作为UC CF系统提供了一个新的分析框架.
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