DocumentCode
3164151
Title
On the distribution of instantaneous power in single carrier: Effective numerical approach
Author
Gutman, Igor ; Wulich, Dov
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
2020
Lastpage
2024
Abstract
This paper investigates the statistical distribution of instantaneous power (IP) in pulse-shaped single-carrier (SC) modulation. Such knowledge is required due to the nonlinearity of the power amplifier (PA). Exact analytical derivation of the distribution is an open problem. The existing works rely on Monte-Carlo simulations or on an approximated numerical analysis. In this paper we propose a straightforward method, based on numerical integration, to evaluate the complementary cumulative distribution function (CCDF) of IP by using characteristic function approach. Error analysis of the proposed numerical approach is given. It is shown that by investing relatively small computation power in the proposed numerical solution we can derive the CCDF of IP with high and controlled accuracy.
Keywords
Monte Carlo methods; approximation theory; error analysis; integration; modulation; power amplifiers; statistical distributions; CCDF; Monte-Carlo simulations; SC modulation; approximated numerical analysis; characteristic function approach; complementary cumulative distribution function; computation power; error analysis; exact analytical derivation; instantaneous power; numerical integration; power amplifier; pulse-shaped single-carrier modulation; single carrier; statistical distribution; Accuracy; Error analysis; IP networks; Modulation; OFDM; Silicon; Upper bound; CCDF; instantaneous power; single carrier;
fLanguage
English
Publisher
ieee
Conference_Titel
Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on
Conference_Location
Toronto, ON
ISSN
pending
Print_ISBN
978-1-4577-1346-0
Electronic_ISBN
pending
Type
conf
DOI
10.1109/PIMRC.2011.6139867
Filename
6139867
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