Efficient importance sampling techniques for simulation of multiuser communication systems

Author

Orsak, Geoffrey C. ; Aazhang, Behnaam

Author_Institution

Dept. of Electr. & Comput. Eng., George Mason Univ., Fairfax, VA, USA

Volume

40

Issue

6

fYear

1992

fDate

6/1/1992 12:00:00 AM

Firstpage

1111

Lastpage

1118

Abstract

The problem of simulating error rates in direct sequence spread-spectrum code division multiple-access (CDMA) systems is examined. Due to the computational complexity required to simulate these systems, an importance sampling technique is developed based upon previous work by the authors. A conditional weighting function is derived such that the linear shift class of biasing densities can be employed. Results are given for a variety of detector structures and background noise distributions. It is shown that this biasing scheme can dramatically reduce the run time of realistic multiple-access simulations

Keywords

code division multiple access; computational complexity; digital simulation; error statistics; spread spectrum communication; CDMA; background noise distributions; biasing densities; computational complexity; conditional weighting function; detector structures; direct sequence spread-spectrum code division multiple-access; error rate simulation; importance sampling techniques; linear shift class; multiuser communication systems; run time reduction; Background noise; Computational modeling; Demodulation; Detectors; Error analysis; Monte Carlo methods; Multiaccess communication; Optical receivers; Spread spectrum communication; Working environment noise;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.142801

Filename

142801