Unified analysis of EGC diversity over Weibull fading channels

Summary In this paper, the performance analysis based on PDF approach of an L-branch equal gain combiner (EGC) over independent and not necessarily identical Weibull fading channels is presented. Several closed-form approximate expressions are derived in terms of only one Fox H-function as PDF, cumulative distribution function, and moments of the EGC output Signal-to-noise ratio (SNR), outage probability, amount of fading, channel capacity, and the average symbol error rate for various digital modulation schemes. All results are illustrated and verified by simulations using computer algebra systems.

[1]  Chintha Tellambura,et al.  Moment analysis of the equal gain combiner output in equally correlated fading channels , 2005, IEEE Transactions on Vehicular Technology.

[2]  H. Hashemi,et al.  The indoor radio propagation channel , 1993, Proc. IEEE.

[3]  Chintha Tellambura,et al.  Moment based analysis of equal gain combiner in equally correlated Nakagami-m fading channels , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[4]  Ranjan K. Mallik,et al.  Channel capacity of adaptive transmission with maximal ratio combining in correlated Rayleigh fading , 2004, IEEE Transactions on Wireless Communications.

[5]  Nikos C. Sagias,et al.  Higher Order Capacity Statistics of Diversity Receivers , 2011, Wirel. Pers. Commun..

[6]  George K. Karagiannidis,et al.  Communication Theory Average output SNR of equal-gain diversity receivers over correlative Weibull fading channels , 2005, Eur. Trans. Telecommun..

[7]  Kyunbyoung Ko,et al.  Outage probability and channel capacity for the Nth best relay selection AF relaying over INID Rayleigh fading channels , 2012, Int. J. Commun. Syst..

[8]  Faissal El Bouanani A new closed-form approximations for MRC receiver over non-identical Weibull fading channels , 2014, 2014 International Wireless Communications and Mobile Computing Conference (IWCMC).

[9]  Carl D. Bodenschatz,et al.  Finding an H-Function Distribution for the Sum of Independent H-Function Variates , 1992 .

[10]  Laurence B. Milstein,et al.  SNR of generalized diversity selection combining with nonidentical Rayleigh fading statistics , 2000, IEEE Trans. Commun..

[11]  George K. Karagiannidis,et al.  Equal-gain and maximal-ratio combining over nonidentical Weibull fading channels , 2005, IEEE Transactions on Wireless Communications.

[12]  George K. Karagiannidis,et al.  Moments-based approach to the performance analysis of equal gain diversity in Nakagami-m fading , 2004, IEEE Transactions on Communications.

[13]  Faissal El Bouanani,et al.  New results for Shannon capacity over generalized multipath fading channels with MRC diversity , 2012, EURASIP J. Wirel. Commun. Netw..

[14]  P.T. Mathiopoulos,et al.  Triple-branch MRC Diversity in Weibull Fading Channels , 2007, 2007 3rd International Workshop on Signal Design and Its Applications in Communications.

[15]  Chintha Tellambura,et al.  Analysis of equal-gain diversity receiver in correlated fading channels , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

[16]  Mohamed-Slim Alouini,et al.  On the sum of gamma random variates with application to the performance of maximal ratio combining over Nakagami-m fading channels , 2012, 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

[17]  Fulvio Babich,et al.  Statistical analysis and characterization of the indoor propagation channel , 2000, IEEE Trans. Commun..

[18]  John P. Fonseka,et al.  Capacity of correlated nakagami-m fading channels with diversity combining techniques , 2006, IEEE Transactions on Vehicular Technology.

[19]  Mohamed-Slim Alouini,et al.  A Unified MGF-Based Capacity Analysis of Diversity Combiners over Generalized Fading Channels , 2010, IEEE Transactions on Communications.

[20]  I. D. Cook The H-Function and Probability Density Functions of Certain Algebraic Combinations of Independent Random Variables with H-Function Probability Distribution , 1981 .