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相关论文: On the Statistics of the Ratio of Non-Constrained …

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This work studies the product and ratio statistics of independent and non-identically distributed (i.n.i.d) $ \alpha-\kappa - \mu $ shadowed random variables. We derive the series expression for the probability density function (PDF),…

信息论 · 计算机科学 2024-07-16 Shashank Shekhar , Sheetal Kalyani

The statistical properties of the multivariate Gamma-Gamma ($\Gamma \Gamma$) distribution with arbitrary correlation have remained unknown. In this paper, we provide analytical expressions for the joint probability density function (PDF),…

信息论 · 计算机科学 2016-11-18 Jiayi Zhang , Michail Matthaiou , George K. Karagiannidis , Linglong Dai

The probability density function (PDF) and cumulative distribution function of the sum of L independent but not necessarily identically distributed squared \eta-\mu variates, applicable to the output statistics of maximal ratio combining…

信息论 · 计算机科学 2012-10-02 Imran Shafique Ansari , Ferkan Yilmaz , Mohamed-Slim Alouini

In this paper, we propose the {\alpha}-Lomax distribution as a new compound fading channel model. This new distribution generalizes the recently introduced Lomax fading channel model. It is worth noting that the Lomax distribution is a…

信息论 · 计算机科学 2024-06-07 Osamah S. Badarneh , Daniel Benevides da Costa

Distance distributions are a key building block in stochastic geometry modelling of wireless networks and in many other fields in mathematics and science. In this paper, we propose a novel framework for analytically computing the closed…

信息论 · 计算机科学 2019-03-20 Ross Pure , Salman Durrani , Fei Tong , Jianping Pan

The $\alpha$-$\eta$-$\kappa$-$\mu$ is one of the most generalized and flexible channel models having an excellent fit to experimental data from diverse propagation environments. The existing statistical results on the envelope of…

信息论 · 计算机科学 2023-06-13 Pranay Bhardwaj , Eesha Santosh Karnawat , S. M. Zafaruddin

In this work, the product of two independent and non-identically distributed (i.n.i.d) $\kappa - \mu $ shadowed random variables is studied. We derive the series expression for the probability density function (PDF), cumulative distribution…

信息论 · 计算机科学 2022-03-30 Shashank Shekhar , Sheetal Kalyani

The statistical characterization of the sum of random variables (RVs) are useful for investigating the performance of wireless communication systems. We derive exact closed-form expressions for the probability density function (PDF) and…

信息论 · 计算机科学 2019-10-24 Hongyang Du , Jiayi Zhang , Julian Cheng , Bo Ai

In this paper, the sum of L independent but not necessarily identically distributed (i.n.i.d.) extended $\eta$-$\mu$ variates is considered. In particular, novel expressions for the probability density function and cumulative distribution…

信号处理 · 电气工程与系统科学 2021-08-25 Osamah S. Badarneh , Fares S. Almehmadi

In this paper, we adopt the $\kappa$-$\mu$ model to characterize the propagation in the sub-THz band. We develop a new exact representation of the sum of squared independent and identically distributed $\kappa$-$\mu$ random variables, which…

信息论 · 计算机科学 2025-08-11 Gustavo Rodrigues de Lima Tejerina , Italo Atzeni

The analysis of systems operating in future frequency ranges calls for a proper statistical channel characterization through generalized fading models. In this paper, we adopt the Extended $\eta$-$\mu$ and $\kappa$-$\mu$ models to…

信息论 · 计算机科学 2025-08-09 Gustavo Rodrigues de Lima Tejerina , Italo Atzeni

In this letter, some applications of wireless communication systems over $\alpha-\eta-\kappa-\mu$ fading channels are analysed. More specifically, the effective rate and the average of both the detection probability and area under the…

信息论 · 计算机科学 2019-09-17 Hussien Al-Hmood , H. S. Al-Raweshidy

A class of multivariate spectral representations for real-valued nonstationary random variables is introduced, which is characterised by a general complex Gaussian distribution. In this way, the temporal signal properties -- harmonicity,…

信号处理 · 电气工程与系统科学 2020-07-29 Bruno Scalzo , Ljubisa Stankovic , Danilo P. Mandic

Current statistical channel models for Terahertz (THz) wireless communication primarily concentrate on the sub-THz band, mostly with $\alpha$-$\mu$ and Gaussian mixture fading distributions for short-term fading and deterministic modeling…

信号处理 · 电气工程与系统科学 2023-10-31 Pranay Bhardwaj , S. M. Zafaruddin

The full width at half maximum (FWHM) is a useful quantity for characterizing the bandwidth of unimodal functions. However, a closed-form expression for the FWHM of gamma-shaped functions-i.e. functions that are shaped like the gamma…

信号处理 · 电气工程与系统科学 2025-09-25 Anthony LoPrete , Johannes Burge

In this paper, the statistical properties of the product of independent and non-identically distributed mixture Gamma (MG) random variables (RVs) are provided first. Specifically, simple exact closed-form expressions for the probability…

信息论 · 计算机科学 2023-03-07 Hussien Al-Hmood , Rafed Sabbar Abbas , H. S. Al-Raweshidy

We study the influence of boundary conditions on self-affine random functions u(t) in the interval t/L \in [0,1], with independent Gaussian Fourier modes of variance ~ 1/q^{\alpha}. We consider the probability distribution of the mean…

统计力学 · 物理学 2009-11-11 Raoul Santachiara , Alberto Rosso , Werner Krauth

This article presents an important theorem, which shows that from the moments of the standard normal distribution one can generate density functions originating a family of models. Additionally, we discussed that different random variable…

The class of $\alpha$-stable distributions with a wide range of applications in economics, telecommunications, biology, applied, and theoretical physics. This is due to the fact that it possesses both the skewness and heavy tails. Since…

统计理论 · 数学 2018-11-13 Mahdi Teimouri

The presented research proposes the $\alpha$-modification of the Beaulieu-Xie shadowed fading channel for wireless communications. For the assumed model the closed-form analytical description of the basic statistical characteristics is…

信息论 · 计算机科学 2023-07-25 Aleksey S. Gvozdarev
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