The η−μ/IG distribution: A novel physical multipath/shadowing fading model

The aim of this work is the formulation and derivation of the η-μ/Inverse Gaussian composite distribution which corresponds to a physical fading model. The η-μ distribution is a generalized small-scale fading model which accounts effectively for non-line-of-sight scenarios and includes as special cases the widely known Nakagami-m, Rayleigh, Hoyt and one sided Gaussian distributions. Similarly, the inverse Gaussian (IG) distribution is a convenient model which was recently shown to characterize shadowing more efficiently than the widely used gamma distribution. To this effect, the proposed η-μ/IG model provides an overall efficient characterization of multipath and shadowing effects which typically occur simultaneously. The offered modelling accuracy is achieved thanks to the remarkable flexibility of its parameters. This is also verified by the fact that the proposed model is capable of providing good fittings to experimental data that correspond to realistic wireless communication scenarios while they include as special cases the widely known Nakagami-m/IG, Rayleigh/IG and Hoyt/IG composite fading models. Novel analytic expressions are derived for the envelope and power probability density function (pdf) of the η-μ/IG model. The derived expressions can be utilized in various studies in radio communications, free space optical communications and ultrasound imaging, among others. Indicatively, an analytic expression is derived for the outage probability (OP) of η-μ/IG fading channels.

[1]  Gustavo Fraidenraich,et al.  The /spl lambda/ - /spl mu/ general fading distribution , 2003, Proceedings of the 2003 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference - IMOC 2003. (Cat. No.03TH8678).

[2]  Mohamed-Slim Alouini,et al.  On the performance analysis of composite multipath/shadowing channels using the G-distribution , 2009, IEEE Transactions on Communications.

[3]  F. Li,et al.  A new polynomial approximation for Jν Bessel functions , 2006, Appl. Math. Comput..

[4]  M. Yacoub,et al.  The к-μ Extreme distribution: Characterizing severe fading conditions , 2009, 2009 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC).

[5]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[6]  S. E. Ahmed,et al.  Handbook of Statistical Distributions with Applications , 2007, Technometrics.

[7]  Paschalis C. Sofotasios,et al.  The α — κ — μ/gamma distribution: A generalized non-linear multipath/shadowing fading model , 2011, 2011 Annual IEEE India Conference.

[8]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[9]  Paschalis C. Sofotasios,et al.  The α-κ-µ Extreme distribution: Characterizing non-linear severe fading conditions , 2011, 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC).

[10]  Michel Daoud Yacoub General Fading Distributions , 2002 .

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

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

[13]  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).

[14]  P. T. Mathiopoulos,et al.  Weibull-Gamma composite distribution : An alternative multipath / shadowing fading model , 2009 .

[15]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[16]  P. Mohana Shankar,et al.  Error Rates in Generalized Shadowed Fading Channels , 2004, Wirel. Pers. Commun..

[17]  Paschalis C. Sofotasios,et al.  The κ-μ Extreme/Gamma Distribution: A Physical Composite Fading Model , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[18]  George K. Karagiannidis,et al.  On the inverse-Gaussian shadowing , 2011, 2011 International Conference on Communications and Information Technology (ICCIT).

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

[20]  Rajeev Agrawal,et al.  On efficacy of Rayleigh-inverse Gaussian distribution over K-distribution for wireless fading channels , 2007, Wirel. Commun. Mob. Comput..

[21]  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).

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

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

[24]  Michel Daoud Yacoub,et al.  The α-μ distribution: a general fading distribution , 2002, PIMRC.

[25]  M. D. Yacoub The /spl eta/-/spl mu/ distribution: a general fading distribution , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[26]  仲上 稔,et al.  The m-Distribution As the General Formula of Intensity Distribution of Rapid Fading , 1957 .