Applicability of Importance Sampling for Rayleigh Fading Mobile Radio Channels

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Abstract:

Estimating the bit error rate (BER) of complex digital communication systems has often been realized by using the Monte Carlo method. For very low BER, this method requires a high computional effort. Therefore, a lot of developments in theory and application of importance sampling (IS) techniques have been done especially for AWGN channels or time varying uniformly distributed channels. In this paper we discuss the applicability of several IS techniques for the simulation of Rayleigh fading mobile radio channels. By using the system threshold characteristic (STC) we first make an analytical statement of the IS efficiency for an AWGN and a frequency-nonselective Rayleigh fading channel. It is shown that due to the Rayleigh distribution the efficiency is reduced. Furthermore, the so called overbiasing effect is graphically explained and simulation results illustrate that the theoretically possible efficiencies cannot be reached in practice because of this statistic effect. Finally, the influence of the time-selectivity is analyzed.

Document type:

Conference Paper

Publication:

Mainz, Germany, 22. - 25. September 1996

Conference:

IEEE Fourth International Symposium on Spread Spectrum Techniques and Applications (ISSSTA 96)

Pages:

224-228

Volume:

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