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 contributionpeer-review

23 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Dresden, Germany
Duration: 2 Jun 20135 Jun 2013

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
Country/TerritoryGermany
CityDresden
Period2/06/135/06/13

Keywords

  • η-μ variates
  • Binary modulation schemes
  • Bit error rate
  • Cellular mobile radio systems
  • Diversity
  • Extended Fox's H function
  • Fox's H function
  • Maximal ratio combining
  • Meijer's G function
  • Non-integer parameters

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