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On the Achievable Diversity Orders over Non-Severely Faded Lognormal Channels

机译:关于非严重衰落的对数正态信道上可实现的分集阶数

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摘要

We propose to approximate the distribution of the sum of identically-distributed lognormal random variables by an Erlang distribution. The advantage of the proposed approximation over the lognormal and non-lognormal approximations proposed in the literature resides mainly in the fact that it results in simple closed-form expressions of the average bit-error-rate (BER) thus offering clear insights on the performance of diversity combining techniques over correlated and uncorrelated lognormal fading channels. For instance, the proposed approach shows that, for typical values of the BER, the diversity order in the case of non-severe lognormal fading can be accurately approximated by the order of the approximating Erlang distribution.
机译:我们建议通过Erlang分布来近似估计相同分布的对数正态随机变量之和的分布。与文献中提出的对数正态和非对数正态近似相比,拟议近似的优势主要在于以下事实:它导致平均误码率(BER)的简单封闭形式表达,从而为性能提供了清晰的见解。相关和不相关对数正态衰落信道上的分集组合技术。例如,所提出的方法表明,对于BER的典型值,在非严重对数正态衰落情况下的分集阶数可以通过近似Erlang分布的阶数准确地近似。

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