We introduce and characterize the independent fluctuating two-ray (IFTR) fading model, a class of fading models consisting of two specular components which fluctuate independently, plus a diffuse component modeled as a complex Gaussian random variable. The IFTR model complements the popular fluctuating two-ray (FTR) model, on which the specular components are fully correlated and fluctuate jointly. The chief probability functions of the received SNR in IFTR fading, including the PDF, CDF and MGF, are expressed in closed-form, having a functional form similar to other state-of-the-art fading models. Then, the IFTR model is empirically validated using multiple channels measured in rather diverse scenarios, including line of sight (LOS) millimeter-wave, land mobile satellite (LMS) and underwater acoustic communication (UAC), showing a better fit than the original FTR model and other models previously used in these environments. Additionally, the performance of wireless communication systems operating under IFTR fading is evaluated in closed-form in two scenarios: (i) exact and asymptotic bit error rate for a family of coherent modulations; and (ii) exact and asymptotic outage probability.
翻译:我们引入并描述独立波动的双线淡化模型(IFTR),这是一种由两种视觉元件独立波动的退缩模型,加上一个扩散元件模型,作为复杂的高斯随机变数的复杂模型。IFTR模型补充了流行的双光(FTR)模型,光谱元件完全相关并同时波动。在IFTR退缩过程中,收到的SNR的主要概率功能,包括PDF、CDF和MGF,以封闭形式表示,其功能形式类似于其他最先进的退缩模型。然后,IFTR模型通过多种渠道的经验验证,这些渠道是在相当不同的情景下测量的,包括视线(LOS)毫米波、陆地移动卫星(LMS)和水下声波通信(UAC),显示比原始FTR模型和以前在这些环境中使用的其他模型更适合。此外,在IFTR退缩下运行的无线通信系统的性能以封闭式形式表现,在两种情景下:(i)精确和无线位位误差率率率率率,作为连贯的精确和概率的组合;以及(ii)不精确度和概率。