The probability density function (PDF) and cumulative distribution function of the sum of L independent but not necessarily identically distributed squared \eta-\mu variates, applicable to the output statistics of maximal ratio combining (MRC) receiver operating over \eta-\mu 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-bar 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-bar function (H-hat). The proposed new analytical results complement previous results and are illustrated by extensive numerical and Monte Carlo simulation results.
@article{arxiv.1210.0100,
title = {On the Sum of Squared \eta-\mu Random Variates With Application to the Performance of Wireless Communication Systems},
author = {Imran Shafique Ansari and Ferkan Yilmaz and Mohamed-Slim Alouini},
journal= {arXiv preprint arXiv:1210.0100},
year = {2012}
}
Comments
6 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:1202.2576