WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
The Bivariate generalized-K (KG) distribution and its application to diversity receivers
IEEE Transactions on Communications
Product of the powers of generalized Nakagami-m variates and performance of cascaded fading channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
SSC diversity receiver over correlated α-µ fading channels in the presence of cochannel interference
EURASIP Journal on Wireless Communications and Networking
Wireless Personal Communications: An International Journal
Mathematical and Computer Modelling: An International Journal
Wireless Personal Communications: An International Journal
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A versatile envelope distribution which generalizes many commonly used models for multipath and shadow fading is the so-called generalized Gamma (GG) distribution. By considering the product of N GG random variables (RV)s, novel expressions for its moments-generating, probability density, and cumulative distribution functions are obtained in closed form. These expressions are used to derive a closed-form union upper bound for the distribution of the sum of GG distributed RVs. The proposed bound turns out to be an extremely convenient analytical tool for studying the performance of TV-branch equal-gain combining receivers operating over GG fading channels. For such receivers, first the moments of the signal-to-noise (SNR) at the output, including average SNR and amount of fading, are obtained in closed form. Furthermore, novel union upper bounds for the outage and the average bit error probability are derived and evaluated in terms of Meijer's G-functions. The tightness of the proposed bounds is verified by performing comparisons between numerical evaluation and computer simulations results