On the distribution of the product and ratio of products of EGK variates with applications
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Abstract
We derive novel exact closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the product and ratio of products of an arbitrary number of independent non-identically distributed (i.n.i.d) extended generalized-\(\mathcal {K}\) (EGK) variates. The expressions are given in terms of the Meijer’s G-function and can be computed easily using commonly available mathematical software tools. They also subsume those for arbitrary combinations of other well-known variates and can be directly utilized in performance evaluation of wireless communication systems under different scenarios. We present various analytical results that are verified via Monte-Carlo simulations for both the PDF and CDF as well as their application in multiple practical scenarios.
Keywords
EGK variates Fading channels Product of random variables Ratio of product of random variablesNotes
Compliance with ethical standards
Conflict of interest
On behalf of all authors, the corresponding author states that there is no conflict of interest.
References
- 1.Karagiannidis, G. K., Sagias, N. C., & Mathiopoulos, P. T. (2007). \(N*\)Nakagami: A novel stochastic model for cascaded fading channels. IEEE Transactions on Communications, 55, 1453–1458.CrossRefGoogle Scholar
- 2.Shin, H., & Lee, J. H. (2004). Performance analysis of space-time block codes over keyhole Nakagami-\(m\) fading channels. IEEE Transactions on Vehicular Technology, 53, 351–362.CrossRefGoogle Scholar
- 3.Hasna, M. O., & Alouini, M. S. (2003). Outage probability of multihop transmission over Nakagami fading channels. IEEE Communications Letters, 7, 216–218.CrossRefGoogle Scholar
- 4.Graziosi, F., & Santucci, F. (2002). On SIR fade statistics in Rayleigh-lognormal channels. In 2002 IEEE international conference on communications (ICC 2002), (vol. 3, pp. 1352–1357).Google Scholar
- 5.Mekić, E., Sekulovic, N., Bandjur, M., Stefanović, M., & Spalevic, P. (2012). The distribution of ratio of random variable and product of two random variables and its application in performance analysis of multi-hop relaying communications over fading channels. Przeglad Elektrotechniczny, 88(7A), 133–137.Google Scholar
- 6.Rathie, A. K. et al. (2013). On the distribution of the product and the sum of generalized shifted gamma random variables. arXiv preprint arXiv:1302.2954.
- 7.Rathie, P. N., Rathie, A. K., & Ozelim, L. C. (2014). The product and the ratio of \(\alpha -\mu \) random variables and outage, delay-limited and ergodic capacities analysis. Physical Review and Research International, 4(1), 100–108.Google Scholar
- 8.Leonardo, E. J., Yacoub, M. D., & de Souza, R. A. A. (2016). Ratio of products of \(\alpha -\mu \) variates. IEEE Communications Letters, 20, 1022–1025.CrossRefGoogle Scholar
- 9.Krstie, D., Romdhani, I., Yassein, M. M. B., Minic, S., Petkovic, G., & Milacic, P. (2015). Level crossing rate of ratio of product of two \(\kappa -\mu \) random variables and Nakagami-\(m\) random variable. In 2015 IEEE international conference on computer and information technology; ubiquitous computing and communications; dependable, autonomic and secure computing; pervasive intelligence and computing (pp. 1620–1625).Google Scholar
- 10.Krstić, D., Stefanović, M., Doljak, V., Aleksić, D., Yassein, M. M. B., & Gligorijević, M. (2016). Performance analysis of wireless systems in the presence of \(\kappa -\mu \) short term fading, gamma long term fading and \(\kappa -\mu \) cochannel interference. In 2016 international conference on applied electronics (AE) (pp. 135–140).Google Scholar
- 11.Schoenecker, S., & Luginbuhl, T. (2016). Characteristic functions of the product of two Gaussian random variables and the product of a Gaussian and a gamma random variable. IEEE Signal Processing Letters, 23(5), 644–647.CrossRefGoogle Scholar
- 12.Garg, M., Sharma, A., & Manohar, P. (2016). The distribution of the product of two independent generalized trapezoidal random variables. Communications in Statistics—Theory and Methods, 45(21), 6369–6384.CrossRefGoogle Scholar
- 13.Nagar, D. K., Zarrazola, E., & Sanchez, L. E. (2016). Product and ratio of Macdonald random variables. International Journal of Mathematical Analysis, 10(13), 639–649.CrossRefGoogle Scholar
- 14.Rathie, P. N., Ozelim, L. C., & Otiniano, C. E. G. (2016). Exact distribution of the product and the quotient of two stable Lévy random variables. Communications in Nonlinear Science and Numerical Simulation, 36, 204–218.CrossRefGoogle Scholar
- 15.Yilmaz, F., & Alouini, M. S. (2010). A new simple model for composite fading channels: Second order statistics and channel capacity. In 2010 7th international symposium on wireless communication systems (pp. 676–680).Google Scholar
- 16.Yilmaz, F., & Alouini, M. S.(2009). Product of the powers of generalized Nakagami-\(m\) variates and performance of cascaded fading channels. In 2009 IEEE global telecommunications conference (GLOBECOM 2009) (pp. 1–8). Honolulu, HI, 2009.Google Scholar
- 17.Gubner, J. A. (2006). Probability and random processes for electrical and computer engineers. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
- 18.Debnath, L., & Bhatta, D. (2015). Integral transforms and their applications (3rd ed.). Boca Raton: CRC Press.Google Scholar
- 19.Hubbard, J. H., & Hubbard, B. B. (2015). Vector calculus, linear algebra, and differential forms: A unified approach. Ithaca: Matrix Editions.Google Scholar
- 20.Abramowitz, M. (1972). Handbook of mathematical functions, with formulas, graphs, and mathematical tables. Mineola: Dover Publications.Google Scholar
- 21.The Wolfram Functions Website. Accessed July 2017.Google Scholar
- 22.Leonardo, E. J., da Costa, D. B., Dias, U. S., & Yacoub, M. D. (2012). The ratio of independent arbitrary \(\alpha -\mu \) random variables and its application in the capacity analysis of spectrum sharing systems. IEEE Communications Letters, 16, 1776–1779.CrossRefGoogle Scholar
- 23.Simon, M. K., & Alouini, M. S. (2005). Digital communication over fading channels (2nd ed.). Hoboken, New Jersey: Wiley.Google Scholar
- 24.Abo Rahama, Y., Ismail, M. H., & Hassan, M. S. (2016). Capacity of Fox’s H-function fading channel with adaptive transmission. Electronics Letters, 52(11), 976–978.CrossRefGoogle Scholar