Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation of Communication Systems: Modeling, Methodology and Techniques
Simulation of Communication Systems: Modeling, Methodology and Techniques
Principles of communication systems simulation with wireless applications
Principles of communication systems simulation with wireless applications
Introduction to Space-Time Wireless Communications
Introduction to Space-Time Wireless Communications
Quick simulation: a review of importance sampling techniques in communications systems
IEEE Journal on Selected Areas in Communications
A fast soft bit error rate estimation method
EURASIP Journal on Wireless Communications and Networking
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Evaluation of bit error rate (BER) of a digital communication system is usually done via simulation using Monte Carlo (MC) method. For low BER, MC method requires huge sample sizes to achieve certain efficiency. To overcome this limitation, many variance reduction techniques such as importance sampling (IS) have been proposed. In this paper, we put forward a novel simulation method - Monte Carlo simulation with error classification (EC-MC). This method can reduce the estimation variance through dividing the total errors into many subcategories and optimizing the simulation samples for each sub-category. We apply this method in simulations of both single-path Rayleigh fading channel and muitipath Rayleigh fading channel with Orthogonal Space-Time Block Coded MIMO systems. The simulation results demonstrate EC-MC method can achieve the same accuracy at smalier sample sizes and shorter simulation runtime, comparing with both conventional MC and IS methods, especially at high signal to noise ratios.