A Novel Error Classification Simulation Method for Rayleigh Fading Channel

摘要：

Evaluation of bit error rate (BER) for digital communication system is usually done via simulations 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 sub-categories and optimizing the simulation samples for each subcategory. We apply this method in simulations of single-path Rayleigh fading channel. The simulation results demonstrate EC-MC method can achieve the same accuracy at smaller sample sizes and shorter simulation runtime, comparing with both conventional MC and IS methods, especially at high signal to noise ratios.

关键词： Monte Carlo simulation variance reduction importance sampling fading error classification

作者: Liang Dong Wang Wenbo

作者单位: School of Information and Telecommunications Beijing University of Posts and Telecommunications Beijing, China

会议类型: 国际会议

会议名称: The International Conference on Communication Software and Networks(2009 IEEE通信软件与网络国际会议 ICCSN 2009)

会议地点: 成都

会议语种:英文

页码: 529-532

在线出版日期: 2009-02-20（万方平台首次上网日期，不代表论文的发表时间）