Applicability of importance sampling for Rayleigh fading mobile radio channels

Dekorsy, A.; Kühn, Volker

doi:10.1109/isssta.1996.563775

Cited by 4 publications

(4 citation statements)

References 6 publications

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“…If the bias factors are not properly chosen, the IS estimator becomes biased, i.e., the mean of the IS estimator is no longer equal to the expected error probability. These effects can be explained by the weight spectrum in [8]. This behavior is confirmed by simulation results in Fig.…”

Section: Cis and Cis-rayleigh For Ostbc Systemsupporting

confidence: 77%

“…In particular, we investigate the efficiency of CIS technique and numerically show by computer simulation that for OSTBC system, the advantage of CIS over MC becomes nearly unity. For a single-input single-output (SISO) system with a frequencynonselective Rayleigh fading channel, it is shown in [8] that biasing the Rayleigh process is more efficient than biasing the noise process. This new approach is called CIS-Rayleigh.…”

Section: Introductionmentioning

confidence: 99%

“…In the CIS-Rayleigh method presented in [8] for SISO systems, the Rayleigh variance is varied instead of biasing the noise source. In particular, the variance factor is denoted by…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of Irnportance Sarnpling for Sinulation of Orthogonal Space-Tiine Block Coded Systens

Nguyen¹,

Gunawardana²,

Liyanapathirana³

2005 Asia-Pacific Conference on Communications

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The evaluation of bit error rate (BER) of a digital communication system is usually done via simulation using Monte Carlo (MC) method. For low BER, this method requires very large sample size to produce the rare error events. To overcome this limitation, various importance sampling techniques have been used to reduce simulation runtime. This reduction is achieved by modifying the noise distribution and subsequently scaling the number of errors to make the estimator unbiased. In this paper, we consider the applicability of the conventional importance sampling (CIS) technique for the simulation of orthogonal space time block coded (OSTBC) systems over frequency-nonselective Rayleigh fading channels. For additive white Gaussian noise (AWGN) channels, it is shown that, using CIS, the required sample size is dramatically reduced especially for low BERs by increasing the noise variance. However, our results show that high efficiency cannot be reached by biasing the receiver noise processes in OSTBC systems. We show numerically that it is more efficient to bias the Rayleigh fading process by decreasing the Rayleigh variance. Furthermore, it is shown that the variance improvement is limited by the dimensionality of the system.

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Section: Cis and Cis-rayleigh For Ostbc Systemsupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of Irnportance Sarnpling for Sinulation of Orthogonal Space-Tiine Block Coded Systens

Nguyen¹,

Gunawardana²,

Liyanapathirana³

2005 Asia-Pacific Conference on Communications

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show abstract

“…The cost of importance sampling is that it is not easy to construct nonuniform random variables that have densities similar to p(y I x, ) and p(y l*o) respectively [116]. This problem has been solved in many applications in signal detection that estimate small probability of false alarm [117][118][119][120][121][122]. However, they are efficient only when the PFA is very small (generally smaller than l.e-4), which is not the case in current NDE techniques.…”

Section: Discussionmentioning

confidence: 99%