BER simulation of digital communication systems with intersymbol interference and non-Gaussian noise using improved importance sampling

MILCOM 91 - Conference record ◽

10.1109/milcom.1991.258253 ◽

2002 ◽

Author(s):

D. Lu ◽

J. Baprawski ◽

K. Yao

Keyword(s):

Importance Sampling ◽

Gaussian Noise ◽

Communication Systems ◽

Digital Communication ◽

Intersymbol Interference ◽

Non Gaussian ◽

Digital Communication Systems

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Optimization and evaluation of several digital communication systems disturbed by non-Gaussian noise (Ph.D. Thesis abstr.)

IEEE Transactions on Information Theory ◽

10.1109/tit.1972.1054912 ◽

1972 ◽

Vol 18 (6) ◽

pp. 829-829

Author(s):

D. Sheinbein

Keyword(s):

Gaussian Noise ◽

Communication Systems ◽

Digital Communication ◽

Non Gaussian ◽

Digital Communication Systems

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The Probability of Error Due to Intersymbol Interference and Gaussian Noise in Digital Communication Systems

IRE Transactions on Communications Systems ◽

10.1109/tcom.1971.1090619 ◽

1971 ◽

Vol 19 (2) ◽

pp. 113-119 ◽

Author(s):

O. Shimbo ◽

M. Celebiler

Keyword(s):

Gaussian Noise ◽

Communication Systems ◽

Digital Communication ◽

Intersymbol Interference ◽

Probability Of Error ◽

Digital Communication Systems

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Probability of error in digital communication systems with intersymbol interference and dependent symbols (Corresp.)

IEEE Transactions on Information Theory ◽

10.1109/tit.1974.1055274 ◽

1974 ◽

Vol 20 (5) ◽

pp. 663-668 ◽

Author(s):

I. Korn

Keyword(s):

Communication Systems ◽

Digital Communication ◽

Intersymbol Interference ◽

Probability Of Error ◽

Digital Communication Systems

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On the monte carlo simulation of digital communication systems in gaussian noise

IEEE Transactions on Communications ◽

10.1109/tcomm.2003.809280 ◽

2003 ◽

Vol 51 (2) ◽

pp. 267-274 ◽

Author(s):

J.A. Bucklew ◽

R. Radeke

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Gaussian Noise ◽

Communication Systems ◽

Digital Communication ◽

Digital Communication Systems

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Estimation variance bounds of importance sampling simulations in digital communication systems

IEEE Transactions on Communications ◽

10.1109/26.103032 ◽

1991 ◽

Vol 39 (10) ◽

pp. 1413-1417 ◽

Author(s):

D. Lu ◽

K. Yao

Keyword(s):

Importance Sampling ◽

Communication Systems ◽

Digital Communication ◽

Estimation Variance ◽

Variance Bounds ◽

Digital Communication Systems

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Importance sampling techniques for estimating the bit error rate in digital communication systems

Journal of the Chinese Institute of Industrial Engineers ◽

10.1080/10170660903507220 ◽

2010 ◽

Vol 27 (1) ◽

pp. 1-14 ◽

Author(s):

Whey-Ming Song ◽

Wen-Chi Chiu ◽

Sin-Long Liu ◽

David Goldsman

Keyword(s):

Importance Sampling ◽

Bit Error Rate ◽

Communication Systems ◽

Digital Communication ◽

Sampling Techniques ◽

Importance Sampling Techniques ◽

Digital Communication Systems

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On the Application of Importance Sampling to BER Estimation in the Simulation of Digital Communication Systems

IRE Transactions on Communications Systems ◽

10.1109/tcom.1987.1096695 ◽

1987 ◽

Vol 35 (11) ◽

pp. 1231-1233 ◽

Author(s):

Qiang Wang ◽

V. Bhargava

Keyword(s):

Importance Sampling ◽

Communication Systems ◽

Digital Communication ◽

Digital Communication Systems

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Improved importance sampling technique for efficient simulation of digital communication systems

IEEE Journal on Selected Areas in Communications ◽

10.1109/49.192731 ◽

1988 ◽

Vol 6 (1) ◽

pp. 67-75 ◽

Author(s):

D. Lu ◽

K. Yao

Keyword(s):

Importance Sampling ◽

Communication Systems ◽

Digital Communication ◽

Sampling Technique ◽

Efficient Simulation ◽

Importance Sampling Technique ◽

Digital Communication Systems

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Error Probability of Equal Gain Combining for Wireless Digital Communication Systems in an Interference-limited Non-Gaussian Fading Channel

2006 1st International Symposium on Wireless Pervasive Computing ◽

10.1109/iswpc.2006.1613657 ◽

2006 ◽

Author(s):

C. Chayawan ◽

S. Tantaratana ◽

N. Makloi

Keyword(s):

Fading Channel ◽

Communication Systems ◽

Error Probability ◽

Digital Communication ◽

Equal Gain Combining ◽

Non Gaussian ◽

Digital Communication Systems

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A stochastic importance sampling methodology for the efficient simulation of digital communication systems with RLS adaptive equalisers

Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications ◽

10.1109/icc.1994.368776 ◽

2002 ◽

Author(s):

W.A. Al-Qaq ◽

J.K. Townsend

Keyword(s):

Importance Sampling ◽

Communication Systems ◽

Digital Communication ◽

Sampling Methodology ◽

Efficient Simulation ◽

Digital Communication Systems

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