Performance Analysis of Dual-Hop Relaying Communications Over Generalized Gamma Fading Channels

In this paper, we present closed form expressions for tight lower bounds of the performance of dual-hop non- regenerative relaying over independent non-identical generalized gamma fading channels. The generalized gamma distribution is very versatile and accurately approximates many of the commonly used channel models for multi-path, shadow, and composite fading. Since it is hard to find a closed form expression for the probability density function (PDF) of the signal-to-noise ratio (SNR) for the generalized gamma distribution, we use an approximate value instead. Novel closed form expressions for the PDF, outage probability and the moments of the approximate value of the SNR at the destination are derived. Also, the average SNR and amount of fading are determined. Moreover, closed form expressions (in terms of the tabulated Meijer's G-function) are found for the average symbol error probability (for several modulations schemes) as well as the Shannon capacity. It should be noted that the Meijer's G-function is widely available in many scientific software packages, such as MATHEMATICAreg and MAPLEreg. Finally, simulations results are also shown to verify the analytical results.

[1]  George K. Karagiannidis,et al.  Selection diversity receivers over nonidentical Weibull fading channels , 2005, IEEE Transactions on Vehicular Technology.

[2]  Mazen O. Hasna,et al.  Outage probability of multihop transmission over Nakagami fading channels , 2003, IEEE Communications Letters.

[3]  Aggelos Bletsas,et al.  A simple Cooperative diversity method based on network path selection , 2005, IEEE Journal on Selected Areas in Communications.

[4]  George S. Tombras,et al.  Average Channel Capacity in a Mobile Radio Environment with Rician Statistics (Special Issue on Personal, Indoor and Mobile Radio Communications) , 1994 .

[5]  Salama Ikki,et al.  Performance Analysis of Cooperative Diversity Wireless Networks over Nakagami-m Fading Channel , 2007, IEEE Communications Letters.

[6]  Rodney G. Vaughan,et al.  Improved fading distribution for mobile radio , 1998 .

[7]  Mazen O. Hasna,et al.  Harmonic mean and end-to-end performance of transmission systems with relays , 2004, IEEE Transactions on Communications.

[8]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

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

[10]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[11]  George K. Karagiannidis,et al.  Performance bounds of multihop wireless communications with blind relays over generalized fading channels , 2006, IEEE Transactions on Wireless Communications.

[12]  Halim Yanikomeroglu,et al.  Multihop diversity in wireless relaying channels , 2004, IEEE Transactions on Communications.

[13]  Victor Adamchik,et al.  The algorithm for calculating integrals of hypergeometric type functions and its realization in REDUCE system , 1990, ISSAC '90.

[14]  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.

[15]  Valentine A. Aalo,et al.  Bit-error rate of binary digital modulation schemes in generalized gamma fading channels , 2005, IEEE Communications Letters.

[16]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

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