Multivariate gamma-gamma distribution with exponential correlation and its applications in radio frequency and optical wireless communications

In this study, the multivariate gamma-gamma (G-G) distribution with exponential correlation is introduced and studied. Rapidly convergent infinite series representations are derived for the joint G-G probability density, cumulative distribution and moment generating functions. Based on these formulas, the performance of radio frequency wireless systems with diversity reception in the presence of composite multipath and shadow fading is analysed. Furthermore, the performance of single-input-multiple-output free space optical communication systems impaired by atmospheric turbulence is investigated. The correctness of the proposed analysis is demonstrated through various numerically evaluated results compared with equivalent computer simulation ones.

[1]  J. Seybold Introduction to RF Propagation , 2005 .

[2]  Ranjan K. Mallik,et al.  On multivariate Rayleigh and exponential distributions , 2003, IEEE Trans. Inf. Theory.

[3]  Marco Chiani,et al.  New exponential bounds and approximations for the computation of error probability in fading channels , 2003, IEEE Trans. Wirel. Commun..

[4]  D. F. Hays,et al.  Table of Integrals, Series, and Products , 1966 .

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

[6]  Pierfrancesco Lombardo,et al.  Coherent radar detection against K-distributed clutter with partially correlated texture , 1996, Signal Process..

[7]  Valentine A. Aalo,et al.  On the multivariate generalized gamma distribution with exponential correlation , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[8]  P.T. Mathiopoulos,et al.  The bivariate generalized-Κ (ΚG) distribution and its application to diversity receivers , 2009, IEEE Transactions on Communications.

[9]  Ali Abdi,et al.  Comparison of DPSK and MSK bit error rates for K and Rayleigh-lognormal fading distributions , 2000, IEEE Communications Letters.

[10]  Nikos C. Sagias,et al.  New results for the multivariate Nakagami-m fading model with arbitrary correlation matrix and applications , 2009, IEEE Transactions on Wireless Communications.

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

[12]  P.R. Sahu,et al.  Outage probability of SC receiver over exponentially correlated K fading channels , 2010, IEEE Communications Letters.

[13]  Murat Uysal,et al.  Error rate performance of coded free-space optical links over strong turbulence channels , 2004, IEEE Communications Letters.

[14]  Ranjan K. Mallik,et al.  Performance analysis of MIMO free-space optical systems in gamma-gamma fading , 2009, IEEE Transactions on Communications.

[15]  Joseph M. Kahn,et al.  Free-space optical communication through atmospheric turbulence channels , 2002, IEEE Trans. Commun..

[16]  Kostas Peppas,et al.  Performance evaluation of triple-branch GSC diversity receivers over generalized-K fading channels , 2009, IEEE Communications Letters.

[17]  V. K. Bhargawa,et al.  Analysis of M-ary phase-shift keying with diversity reception for land-mobile satellite channels , 1997 .

[18]  I. Kostic Analytical approach to performance analysis for channel subject to shadowing and fading , 2005 .

[19]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .

[20]  Y. Karasawa,et al.  Analysis of availability improvement in LMSS by means of satellite diversity based on three-state propagation channel model , 1997 .

[21]  Mohsen Kavehrad,et al.  BER Performance of Free-Space Optical Transmission with Spatial Diversity , 2007, IEEE Transactions on Wireless Communications.

[22]  Valentine A. Aalo,et al.  Performance of maximal-ratio diversity systems in a correlated Nakagami-fading environment , 1995, IEEE Trans. Commun..

[23]  George K. Karagiannidis,et al.  Gaussian class multivariate Weibull distributions: theory and applications in fading channels , 2005, IEEE Transactions on Information Theory.

[24]  L. Andrews,et al.  Mathematical model for the irradiance probability density function of a laser beam propagating through turbulent media , 2001 .

[25]  P. Mohana Shankar Performance Analysis of Diversity Combining Algorithms in Shadowed Fading Channels , 2006, Wirel. Pers. Commun..

[26]  Arun K. Majumdar,et al.  Free-space laser communication performance in the atmospheric channel , 2005 .

[27]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[28]  Ali Abdi,et al.  A new simple model for land mobile satellite channels: first- and second-order statistics , 2003, IEEE Trans. Wirel. Commun..

[29]  George K. Karagiannidis,et al.  On the performance analysis of digital communications over generalized-K fading channels , 2006, IEEE Communications Letters.

[30]  Murat Uysal Diversity analysis of space-time coding in cascaded Rayleigh fading channels , 2006, IEEE Commun. Lett..

[31]  P. Mohana Shankar Macrodiversity and Microdiversity in Correlated Shadowed Fading Channels , 2009, IEEE Transactions on Vehicular Technology.

[32]  Nikos C. Sagias,et al.  A trivariate nakagami-m distribution with arbitrary covariance matrix and applications to generalized-selection diversity receivers , 2009, IEEE Transactions on Communications.

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

[34]  George K. Karagiannidis,et al.  On the multivariate Nakagami-m distribution with exponential correlation , 2003, IEEE Trans. Commun..

[35]  L. Andrews,et al.  Laser Beam Scintillation with Applications , 2001 .

[36]  John S. Seybold,et al.  Introduction to RF Propagation: Seybold/Introduction to RF Propagation , 2005 .