Title :
Method of generating statistical Rice random variables over wireless fading channels
Author :
Zhuang, Mingjie ; Guo, Donghui ; Wu, Boxi
Author_Institution :
Dept. of Phys., Xiamen Univ., China
fDate :
31 May-2 June 2004
Abstract :
Utilizing an approximate formula of the zero-order modified Bessel function of the first kind I0(x), we derive in this paper an approximate closed form of the cumulative distribution function (CDF) of a Rice random variable (RRV). Then Monte-Carlo method (MCM) is used to generate the RRVs. In order to validate the new method, the simulation results of both PDF of a RRV and BER of coherent BPSK (CBPSK) in slowly flat Ricean fading channels are presented in the paper. These results show that the simulation values can fit the analytical values very well.
Keywords :
Bessel functions; Monte Carlo methods; Rician channels; error statistics; phase shift keying; radio networks; statistical analysis; BER; BPSK; Monte-Carlo method; bit error rate; cumulative distribution function; flat Ricean fading channels; statistical Rice random variable; wireless fading channel; zero-order modified Bessel function; Analytical models; Bit error rate; Fading; Filters; Information technology; Mobile communication; Physics; Probability density function; Random variables; Statistical distributions;
Conference_Titel :
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN :
0-7803-7938-1
DOI :
10.1109/CASSET.2004.1322945
