Novel simple bounds on the probability of error for EGC and MRC diversity receivers over α-μ fading

Moataz M. H. El Ayadi, M. H. Ismail
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Abstract

In this paper, we propose novel simple-to-calculate lower and upper bounds on the probability of error for dual-branch equal-gain combining (EGC) and maximal ratio combining (MRC) diversity receivers with α-μ fading and linear modulations. For deriving such bounds, we derive lower and upper bounds for the cumulative distribution function (CDF) of the sum of two independent and non identically distributed α-μ random variables (RVs). The CDF bounds are given in the form of finite series of normalized incomplete Gamma functions and, unlike many in the literature, do not require any look up tables or solving transcendental equations to be obtained. We present extensive numerical results for different combinations of the parameters α and μ and show that the proposed bounds on the CDF and the probability of error are very tight when compared to the exact quantities.
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EGC和MRC分集接收机在α-μ衰落下误差概率的新简单界限
本文提出了具有α-μ衰落和线性调制的双支路等增益组合(EGC)和最大比组合(MRC)分集接收机的误差概率的新的易于计算的下界和上界。为了推导这类边界,我们推导了两个独立非同分布α-μ随机变量(RVs)和的累积分布函数(CDF)的下界和上界。CDF边界以归一化不完全伽马函数的有限级数的形式给出,并且与许多文献不同,它不需要任何查找表或求解超越方程来获得。我们对参数α和μ的不同组合给出了广泛的数值结果,并表明与精确量相比,所提出的CDF边界和误差概率非常紧密。
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