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

Imran Shafique Ansari, Ferkan Yilmaz, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

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.
Original languageEnglish (US)
Title of host publication2013 IEEE 77th Vehicular Technology Conference (VTC Spring)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781467363372
DOIs
StatePublished - Jun 2013

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