On the sum of squared η-μ random variates with application to the performance of wireless communication systems

The probability density function (PDF) and cumulative distribution function of the sum of L independent but not necessarily identically distributed squared η-μ variates, applicable to the output statistics of maximal ratio combining (MRC) receiver operating over η-μ fading channels that includes the Hoyt and the Nakagami-m models as special cases, is presented in closed-form in terms of the Fox's H function. Further analysis, particularly on the bit error rate via PDF-based approach, is also represented in closed form in terms of the extended Fox's H function (H). The proposed new analytical results complement previous results and are illustrated by extensive numerical and Monte Carlo simulation results. © 2013 IEEE.

Ansari, I. S., Yilmaz, F., & Alouini, M.-S. (2013). On the Sum of Squared eta-µ Random Variates with Application to the Performance of Wireless Communication Systems. 2013 IEEE 77th Vehicular Technology Conference (VTC Spring). doi:10.1109/vtcspring.2013.6692669

Institute of Electrical and Electronics Engineers (IEEE)

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

Conference/Event Name
2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013



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