DocumentCode
854881
Title
General expression for pdf of a sum of independent exponential random variables
Author
Van Khuong, Ho ; Kong, Hyung-Yun
Author_Institution
Dept. of Electr. Eng., Ulsan Univ., South Korea
Volume
10
Issue
3
fYear
2006
fDate
3/1/2006 12:00:00 AM
Firstpage
159
Lastpage
161
Abstract
In order to evaluate exactly the performance of some diversity schemes, the probability density function (pdf) of a sum of independent exponential random variables (r.v.´s) must be known. This paper proposes a simple method to find it by using characteristic function., The resultant pdf is successfully applied to formulate the closed-form BER expression of 2 Tx-J Rx transmit diversity as well as the outage probability of repetition coding.
Keywords
channel coding; diversity reception; error statistics; probability; bit error rate; characteristic function; closed-form BER; diversity transmission; independent exponential random variable; pdf; probability density function; repetition coding; Bit error rate; Equations; Fading; Fourier transforms; Genetic expression; Helium; Probability density function; Random variables; Receiving antennas; Shadow mapping;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2006.1603370
Filename
1603370
Link To Document