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

Ansari, Imran Shafique; Yilmaz, Ferkan; Alouini, Mohamed-Slim

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

Type

Conference Paper

Authors

Ansari, Imran Shafique

Yilmaz, Ferkan
Alouini, Mohamed-Slim

KAUST Department

Communication Theory Lab
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Office of the VP
Physical Science and Engineering (PSE) Division

Preprint Posting Date

2012-09-29

Date

2013-06

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.

Citation

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