Publication | Closed Access
An Improved Importance Sampling Method for Digital Communication System Simulations
40
Citations
8
References
1986
Year
Sampling (Signal Processing)EngineeringMonte Carlo MethodsSimulationMarkov Chain Monte CarloDiscrete-event SimulationStochastic SimulationCommunication EngineeringUncertainty QuantificationSystems EngineeringModeling And SimulationSystem SimulationMemory LengthError EstimatesData CommunicationMonte CarloDigital Communication SystemsComputer EngineeringComputer ScienceMonte Carlo SamplingSequential Monte CarloSignal ProcessingMonte Carlo Method
The use of importance sampling techniques can substantially reduce the variance of probability of error estimates obtained by Monte Carlo type simulations of digital communication systems. However, the advantages of importance sampling diminish as the memory length of the system becomes greater. This paper presents a modified importance sampling method which achieves substantial variance reduction for systems with memory.
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