Adaptive importance sampling for bit error rate estimation over fading channels

DOI10.1016/0016-0032(94)90101-5zbMATH Open0821.94004OpenAlexW1970839666MaRDI QIDQ1804260

Yanyan Li

Publication date: 25 September 1995

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0016-0032(94)90101-5

zbMATH Keywords

Monte Carlocomputer simulationRayleigh fading channelsadaptive importance samplingbit error rateQPSK

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Channel models (including quantum) in information and communication theory (94A40) Communication theory (94A05) Modulation and demodulation in information and communication theory (94A14) Probabilistic methods, stochastic differential equations (65C99)

Related Items (2)

Fast estimators for large-scale fading channels from irregularly sampled data ⋮ Importance sampling for analysis of direct detection optical communication systems

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