Selection combining, and opportunistic relaying, with many diversity branches: Switching rates for most common fading types

David B. Smith
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Abstract

A closed form expression for the switching rate of selection combining, and opportunistic relaying, with any number of diversity branches, is derived for most common types of fading, including, but not limited to - gamma, lognormal, normal, exponential, Rayleigh, Weibull, generalized gamma (or alpha-mu) and Nakagami-m fading, and Rician fading as a close approximation. These types of fading can all be described by the Amoroso distribution, and here we assume that the fading at each branch is independent and identically distributed (i.i.d.). The switching rate is shown to be only dependent upon the number of branches, Doppler spread, and a shape parameter of an underlying four-parameter Amoroso distribution. Hence the switching rate can simply be evaluated from a one-parameter standard gamma distribution. In the limit of the shape parameter, a further simplified closed form approximation to switching rate is provided for lognormal fading, which is only dependent upon the number of diversity branches, and shown to not be dependent on log-mean or log-standard deviation. Further all theoretical evaluations are shown to closely match those of simulated time-selective fading for a range of shape parameters, including shape parameters tending to infinity, relevant to normal and lognormal fading.
具有许多分集分支的选择组合和机会中继:大多数常见衰落类型的切换速率
对于大多数常见的衰落类型,包括但不限于- gamma、对数正态、正态、指数、瑞利、威布尔、广义gamma(或alpha-mu)和Nakagami-m衰落,以及作为近似的rici衰落,导出了具有任意数量的分集分支的选择组合和机会中继的切换速率的封闭形式表达式。这些类型的衰落都可以用Amoroso分布来描述,这里我们假设每个分支的衰落是独立的和同分布的(i.i.d)。开关速率仅取决于分支的数量、多普勒扩展和一个潜在的四参数阿莫罗索分布的形状参数。因此,开关率可以简单地从一个参数的标准伽马分布来评估。在形状参数的限制下,对对数正态衰落提供了开关速率的进一步简化的闭形式近似,它只依赖于分集分支的数量,而不依赖于对数均值或对数标准差。此外,所有理论评估结果都与模拟时间选择性衰落的结果密切匹配,这些参数包括趋于无穷远的形状参数,与正态和对数正态衰落相关。
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