无线网络的差异化比特错误率估计方法
发布时间：2018-09-09 14:31
【摘要】：在无线网络中,比特错误率(bit error rate,BER)的估计是许多上层协议的基础,对数据传输的性能具有重要的影响,目前已成为一个重要的研究课题.但是现有BER估计编码未考虑实际网络的BER分布特征,估计误差较大.在实测分析802.11无线网络的BER分布特征的基础上,提出了一种采用差异化思想来提高BER估计准确度的方法差异化估错码(differentiated error estimation,DEE),其主要思想是在数据包中插入具有不同估错能力的多级估错位,并随机均匀地分布各估错位.然后,借助BER与奇偶校验错误概率的理论关系来估计BER.此外,DEE利用BER非均匀分布特征来优化各级估错位的能力,提高出现概率较高的BER的估计准确度,以降低平均估计误差.在7个节点组成的测试床上评价了DEE的性能.实验结果表明,与最近的研究成果估错码(error estimation code,EEC)相比,DEE可将估计误差平均减少约44%.当估错冗余较低时DEE可将估计误差减少约68%.此外,DEE具有比EEC更小的估计偏差.
[Abstract]:In wireless networks, bit error rate (bit error rate,BER) estimation is the basis of many upper layer protocols, which has an important impact on the performance of data transmission, and has become an important research topic. However, the existing BER estimation codes do not take into account the BER distribution characteristics of the actual network, and the estimation error is large. Based on the analysis of BER distribution in 802.11 wireless network, This paper presents a method of improving the accuracy of BER estimation using differential estimation method (differentiated error estimation,DEE). The main idea of the method is to insert multilevel estimation mislocations with different error-estimation capabilities into data packets and distribute them randomly and evenly. Then, the BER. is estimated by the theoretical relation between BER and parity error probability. In addition, DEE optimizes the ability of estimating mislocations at all levels by using the non-uniform distribution of BER, and improves the estimation accuracy of BER with higher occurrence probability, so as to reduce the average estimation error. The performance of DEE was evaluated on a test bed composed of seven nodes. The experimental results show that (error estimation code,EEC can reduce the estimated error by about 44% on average. When the error redundancy is low, DEE can reduce the estimation error by 68%. In addition, DEE has a smaller estimation deviation than EEC.
【作者单位】： 中国科学院计算技术研究所;中国科学院大学;
【基金】：国家“九七三”重点基础研究发展计划基金项目(2011CB302803) 国家自然科学基金项目(61100180,61202412) 中国科学院战略性先导科技专项项目(XDA060307000) 国家科技重大专项项目(2010ZX03006-006)
【分类号】：TP391.48
[Abstract]:In wireless networks, bit error rate (bit error rate,BER) estimation is the basis of many upper layer protocols, which has an important impact on the performance of data transmission, and has become an important research topic. However, the existing BER estimation codes do not take into account the BER distribution characteristics of the actual network, and the estimation error is large. Based on the analysis of BER distribution in 802.11 wireless network, This paper presents a method of improving the accuracy of BER estimation using differential estimation method (differentiated error estimation,DEE). The main idea of the method is to insert multilevel estimation mislocations with different error-estimation capabilities into data packets and distribute them randomly and evenly. Then, the BER. is estimated by the theoretical relation between BER and parity error probability. In addition, DEE optimizes the ability of estimating mislocations at all levels by using the non-uniform distribution of BER, and improves the estimation accuracy of BER with higher occurrence probability, so as to reduce the average estimation error. The performance of DEE was evaluated on a test bed composed of seven nodes. The experimental results show that (error estimation code,EEC can reduce the estimated error by about 44% on average. When the error redundancy is low, DEE can reduce the estimation error by 68%. In addition, DEE has a smaller estimation deviation than EEC.
【作者单位】： 中国科学院计算技术研究所;中国科学院大学;
【基金】：国家“九七三”重点基础研究发展计划基金项目(2011CB302803) 国家自然科学基金项目(61100180,61202412) 中国科学院战略性先导科技专项项目(XDA060307000) 国家科技重大专项项目(2010ZX03006-006)
【分类号】：TP391.48
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