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Log-value estimation of random variable following generalized gamma distribution in wireless communications

机译:无线通信中遵循广义伽马分布的随机变量的对数值估计

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摘要

In this paper, start from the m-dimensional homogeneous Poisson Point Process (HPPP), we present a closed form expression for the log-value estimation of a random variable which follows generalized gamma distribution (ggd). Numerical results are provided to show the correctness of proposed closed form. The proposed closed form can be applied to the calculations of signal strength and Shannon channel capacity of the random network which follows HPPP. Furthermore, our study can be extended to other studies of wireless communication. Here, we apply our proposed closed form to the fading figure estimation of Nakagami fading channel. Simulation results show our proposed estimator is comparable to other popular estimators.
机译:在本文中,从m维齐次Poisson点过程(HPPP)开始,我们提出了一个封闭形式的表达式,用于遵循广义伽马分布(ggd)的随机变量的对数值估计。数值结果表明了所提出封闭形式的正确性。提出的封闭形式可以应用于遵循HPPP的随机网络的信号强度和香农信道容量的计算。此外,我们的研究可以扩展到无线通信的其他研究。在这里,我们将我们提出的封闭形式应用于中上衰落信道的衰落图估计。仿真结果表明,我们提出的估算器可与其他流行的估算器相媲美。

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