论文标题
通过信号分数进行分析
SIR Analysis via Signal Fractions
论文作者
论文摘要
无线网络中信噪比（SIRS）的分析对得出重要的性能指标（包括可靠性，吞吐量和延迟）至关重要。尽管现在可以使用大量有关SIR分布的结果，但它们通常并不直接解释，绑定，可视化和比较。在这封信中，我们为SIR分布的分析和可视化提供了另一种途径。该方法核心的数量是信号分数（SF），这是信号功率与总接收功率的比率。一个关键优势是SF被限制为[0,1]。我们通过审查Poisson细胞网络的已知结果来体现基于SF的方法的好处。在此过程中，我们得出了通常适用的新近似和边界技术。
The analysis of signal-to-interference ratios (SIRs) in wireless networks is instrumental to derive important performance metrics, including reliability, throughput, and delay. While a host of results on SIR distributions are now available, they are often not straightforwards to interpret, bound, visualize, and compare. In this letter, we offer an alternative path towards the analysis and visualization of the SIR distribution. The quantity at the core of this approach is the signal fraction (SF), which is the ratio of the signal power to the total received power. A key advantage is that the SF is constrained to [0,1]. We exemplify the benefits of the SF-based approach by reviewing known results for Poisson cellular networks. In the process, we derive new approximation and bounding techniques that are generally applicable.
