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On the generalized and modified Suzuki model (GMSM): approximations and level crossing statistics

机译:关于广义和修改的铃木模型(GMSM):近似和级联统计

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The Suzuki model (Susuki, 1977) is traditionally applied to characterize the fast fading-slow fading (Rayleigh-Lognormal) phenomena. Extensions to this model are available in the literature, namely the extended Patzold et al. (1998) and the generalized Tjhung and Chai (1999) and Ramos et al. (2000) Suzuki model. In wireless channels the level crossing statistics, level crossing rate (LCR), average fade duration (AFD) and fade duration distribution (FDD), are important to evaluate the system's performance. The FDD, however, is rather complex to evaluate analytically and the literature deals mainly with the LCR and AFD. Previous works on the level crossing statistics of the Suzuki model and extensions of it, are devoted to LCR and AFD only. Here we proposed the so called GMSM (Nakagami-Gamma) and analyze its LCR and AFD. Using computer simulations we found that the FDD of the GMSM are approximately Gamma distributed. To evaluate the FDD analytically we use our previous results on the level crossing theory (Ramos et al., 2003). To achieve this we propose an approximation of the GMSM by means of carefully selected Gamma distributions. This means that Gamma fading process has an FDD which is approximately Gamma distributed also. The theory and the approximations are opportunely compared with measurements and simulations.
机译:铃木型号(Susuki,1977)传统上应用于表征快速衰落缓慢的衰落(Rayleigh-Lognormal)现象。文献中提供了对该模型的扩展,即扩展Patzold等人。 (1998年)和广义Tjhung和Chai(1999)和Ramos等。 (2000)铃木模型。在无线信道中,级别交叉统计,级别交叉率(LCR),平均淡化持续时间(AFD)和淡化持续时间分布(FDD)是值得评估系统的性能。然而,FDD在分析上评估了与LCR和AFD的分析和文献交易相当复杂。以前的作品对铃木模型的级别交叉统计数据和它的扩展,仅用于LCR和AFD。在这里,我们提出所谓的GMSM(Nakagami-Gamma)并分析其LCR和AFD。使用计算机模拟,我们发现GMSM的FDD大约是伽马分布式。为了分析评估FDD,我们将先前的级联横穿理论上的结果(Ramos等,2003)使用。为实现这一点,我们通过精心挑选的伽马分布提出了GMSM的近似。这意味着伽马衰落过程具有近似伽马分布的FDD。与测量和模拟相比,理论和近似值是合理的。

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