A Novel Iterative Control Variates Algorithm for Efficient Simulation in AWGN Channels

摘要：

In this paper, we propose a fast convergent simulation algorithm for additive white Gaussian noise (AWGN) channel, which can obtain the unbiased and effective estimators of bit error rate (BER) and amplitude of the transmitted signal (TSA). It utilizes a certain cumulative distribution function as the control variate. Compared with Monte-Carlo (MC) methods, this algorithm does not require knowing TSA while its estimator of BER has a lower variance. Its estimator of TSA also has a lower variance than traditional methods. The simulation result demonstrates the conclusion, viz. both the variance of BER’s estimator and that of TSA’s estimator present inverse ratio to square of simulation data number.

关键词： bit error rate (BER) additive white Gaussian noise (AWGN) Monte Carlo (MC) control variates (CV)

作者: Liang Dong Lin Jia-ru

作者单位: School of Information Engineering,Beijing University of Posts and Telecommunications,Mail box 181,Beijing 100876,China

会议类型: 国际会议

会议名称: 第二届IEEE无线通讯、网络技术暨移动计算国际会议

会议地点: 武汉

会议语种:英文

在线出版日期: 2006-09-01（万方平台首次上网日期，不代表论文的发表时间）