Title :
Modeling papr of MC-CDMA by generalized extreme value distribution
Author :
Xiao Bian ; Nam Yul Yu
Author_Institution :
Dept. of Electr. & Comput. Eng., Lakehead Univ., Thunder Bay, ON, Canada
fDate :
April 29 2012-May 2 2012
Abstract :
The generalized extreme value (GEV) distribution is suitable for modeling the extreme events, such as the maximum value of an asymptotic distribution. This paper presents results of an experimental investigation where the distribution of peak-to-average power ratio (PAPR) in downlink MC-CDMA systems is modeled by the GEV distribution. Two orthogonal sets of sequences, Walsh-Hadamard and Golay complementary sequences, are used in spreading processes in the system. Then the parameters of the GEV distribution are estimated for the PAPR distribution. Through intensive numerical results, it is shown that the GEV distribution is an accurate model of the PAPR distribution of MC-CDMA systems. Also, the statistically estimated GEV distribution parameters for the PAPR reveal that when the number of subcarriers increases, the PAPR distributions converge to the Gumbel distribution.
Keywords :
Golay codes; Hadamard codes; code division multiple access; spread spectrum communication; statistical distributions; Golay complementary sequences; Gumbel distribution; PAPR distribution; Walsh-Hadamard; asymptotic distribution; downlink MC-CDMA systems; experimental investigation; generalized extreme value distribution; orthogonal sets; peak-to-average power ratio; spreading processes; statistically estimated GEV distribution parameters; subcarriers; Downlink; Market research; Multicarrier code division multiple access; Numerical models; Peak to average power ratio; Extreme value theory; MC-CDMA; PAPR; generalized extreme value distribution;
Conference_Titel :
Electrical & Computer Engineering (CCECE), 2012 25th IEEE Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1431-2
Electronic_ISBN :
0840-7789
DOI :
10.1109/CCECE.2012.6335053
