The N∗Fisher-Snedecor F Cascaded Fading Model

The Fisher-Snedecor F distribution was recently proposed as an accurate and tractable composite fading model in the context of device-to-device communications. The present work derives the product of the Fisher-Snedecor ${\mathcal{F}}$ composite fading model, which is useful in characterizing fading effects in numerous realistic communication scenarios. To this end, novel analytic expressions are first derived for the probability density function, the cumulative distribution function and the moment of the product of N statistically independent, but not necessarily identically distributed, Fisher-Snedecor ${\mathcal{F}}$ random variables. Capitalizing on these expressions, we derive tractable closed-form expressions for channel quality estimation of the proposed model as well as the corresponding outage probability and average bit error probability for binary modulations. The offered results are corroborated by extensive Monte-Carlo simulation results, which verify the validity of the derived expressions. It is shown that the number of cascaded channels affects considerably the corresponding performance, as a variation of over an order of magnitude is observed across all signal-to-noise ratio regimes.

[1]  Michail Matthaiou,et al.  The Fisher–Snedecor $\mathcal {F}$ Distribution: A Simple and Accurate Composite Fading Model , 2017, IEEE Communications Letters.

[2]  Ali Abdi,et al.  K distribution: an appropriate substitute for Rayleigh-lognormal distribution in fading-shadowing wireless channels , 1998 .

[3]  Daniel Benevides da Costa,et al.  The Ratio of Independent Arbitrary α-μ Random Variables and its Application in the Capacity Analysis of Spectrum Sharing Systems , 2012, IEEE Communications Letters.

[4]  Osamah S. Badarneh Performance Evaluation of Wireless Communication Systems over Composite $${\varvec{\alpha}}{-}{\varvec{\mu}}/$$α-μ/Gamma Fading Channels , 2017, Wirel. Pers. Commun..

[5]  George K. Karagiannidis,et al.  $N{\ast}$Nakagami: A Novel Stochastic Model for Cascaded Fading Channels , 2007, IEEE Transactions on Communications.

[6]  M.D. Yacoub,et al.  The $\alpha$-$\mu$ Distribution: A Physical Fading Model for the Stacy Distribution , 2007, IEEE Transactions on Vehicular Technology.

[7]  Osamah S. Badarneh,et al.  The α–μ/α–μ composite multipath-shadowing distribution and its connection with the extended generalized-K distribution , 2016 .

[8]  Mohamed-Slim Alouini,et al.  Digital Communications Over Fading Channels (M.K. Simon and M.S. Alouini; 2005) [Book Review] , 2008, IEEE Transactions on Information Theory.

[9]  Mohamed-Slim Alouini,et al.  Product of the Powers of Generalized Nakagami-m Variates and Performance of Cascaded Fading Channels , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[10]  Michail Matthaiou,et al.  The κ− μ / Inverse Gamma Fading Model , 2016 .

[11]  Jianhua Lu,et al.  M-PSK and M-QAM BER computation using signal-space concepts , 1999, IEEE Trans. Commun..

[12]  Samuel Pierre,et al.  On the Performance of Multihop-Intervehicular Communications Systems Over n*Rayleigh Fading Channels , 2016, IEEE Wireless Communications Letters.

[13]  George K. Karagiannidis,et al.  Effects of RF Impairments in Communications Over Cascaded Fading Channels , 2016, IEEE Transactions on Vehicular Technology.

[14]  Mohamed-Slim Alouini,et al.  Extended Generalized-K (EGK): A New Simple and General Model for Composite Fading Channels , 2010, ArXiv.

[15]  George K. Karagiannidis,et al.  Channel Quality Estimation Index (CQEI): A Long-Term Performance Metric for Fading Channels and an Application in EGC Receivers , 2007, IEEE Transactions on Wireless Communications.

[16]  Michail Matthaiou,et al.  The K — μ / inverse gamma fading model , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[17]  Nikos C. Sagias,et al.  On the cascaded Weibull fading channel model , 2007, J. Frankl. Inst..

[18]  Kostas Peppas,et al.  Cascaded generalised-K fading channel , 2010, IET Commun..

[19]  Michail Matthaiou,et al.  The η — μ / inverse gamma composite fading model , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[20]  Arak M. Mathai,et al.  The H-Function with Applications in Statistics and Other Disciplines. , 1981 .

[21]  Paschalis C. Sofotasios,et al.  The η-μ/gamma composite fading model , 2010, 2010 IEEE International Conference on Wireless Information Technology and Systems.

[22]  Paschalis C. Sofotasios,et al.  On the κ-μ/gamma composite distribution: A generalized multipath/shadowing fading model , 2011, 2011 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC 2011).

[23]  Daniel Benevides da Costa,et al.  On the Double-Generalized Gamma Statistics and Their Application to the Performance Analysis of V2V Communications , 2018, IEEE Transactions on Communications.

[24]  M.D. Yacoub,et al.  The κ-μ distribution and the η-μ distribution , 2007, IEEE Antennas and Propagation Magazine.

[25]  M. Nakagami The m-Distribution—A General Formula of Intensity Distribution of Rapid Fading , 1960 .

[26]  Seong Ki Yoo,et al.  The Fisher-Snedecor F distribution: A Simple and Accurate Composite Fading Model , 2017 .

[27]  Paschalis C. Sofotasios,et al.  On the η-µ/gamma and the λ-µ/gamma multipath/shadowing distributions , 2011, 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC).

[28]  Sofiène Affes,et al.  On the Performance of Cascaded Generalized K Fading Channels , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.