Selection Combining Scheme over Non-identically Distributed Fisher-Snedecor F Fading Channels

In this paper, the performance of the selection combining (SC) scheme over Fisher-Snedecor $\mathcal{F}$ fading channels with independent and non-identically distributed (i.n.i.d.) branches is analysed. The probability density function (PDF) and the moment generating function (MGF) of the maximum i.n.i.d. Fisher-Snedecor $\mathcal{F}$ variates are derived first in terms of the multivariate Fox's $H$-function that has been efficiently implemented in the technical literature by various software codes. Based on this, the average bit error probability (ABEP) and the average channel capacity (ACC) of SC diversity with i.n.i.d. receivers are investigated. Moreover, we analyse the performance of the energy detection that is widely employed to perform the spectrum sensing in cognitive radio networks via deriving the average detection probability (ADP) and the average area under the receiver operating characteristics curve (AUC). To validate our analysis, the numerical results are affirmed by the Monte Carlo simulations.

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

[2]  Seong Ki Yoo,et al.  A Comprehensive Analysis of the Achievable Channel Capacity in $\mathcal{F}$ Composite Fading Channels , 2019, IEEE Access.

[3]  Hongyang Du,et al.  On the Distribution of the Ratio of Products of Fisher-Snedecor F Random Variables and Its Applications , 2019, ArXiv.

[4]  P. Takis Mathiopoulos,et al.  Diversity reception over generalized-K (KG) fading channels , 2007, IEEE Transactions on Wireless Communications.

[5]  Hamed S. Al-Raweshidy,et al.  On the Sum and the Maximum of Nonidentically Distributed Composite $\eta{-}\mu/\text{gamma}$ Variates Using a Mixture Gamma Distribution With Applications to Diversity Receivers , 2016, IEEE Transactions on Vehicular Technology.

[6]  Yoo Entropy and Energy Detection-Based Spectrum Sensing Over F -Composite Fading Channels , 2019 .

[7]  George K. Karagiannidis,et al.  Entropy and Energy Detection-Based Spectrum Sensing Over $\mathcal{F}$ -Composite Fading Channels , 2018, IEEE Transactions on Communications.

[8]  Paschalis C. Sofotasios,et al.  On the Sum of Fisher–Snedecor $\mathcal{F}$ Variates and Its Application to Maximal-Ratio Combining , 2018, IEEE Wireless Communications Letters.

[9]  A. M. Mathai,et al.  The H-Function: Theory and Applications , 2009 .

[10]  Paschalis C. Sofotasios,et al.  The N∗Fisher-Snedecor F Cascaded Fading Model , 2018, 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[11]  Osamah S. Badarneh,et al.  Performance analysis of L-branch maximal ratio combining over generalised η - μ fading channels with imperfect channel estimation , 2016, IET Commun..

[12]  Milton Abramowitz,et al.  Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables , 1964 .

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

[14]  Mohamed-Slim Alouini,et al.  Rician ${K}$ -Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks , 2019, IEEE Wireless Communications Letters.

[15]  R C Robertson,et al.  Digital Communications Over Fading Channels , 2004 .

[16]  Daniel Benevides da Costa,et al.  On the Sum of Fisher-Snedecor F Variates and its Application to Maximal-Ratio Combining , 2019 .