無線網(wǎng)絡的差異化比特錯誤率估計方法
發(fā)布時間：2018-09-09 14:31
【摘要】：在無線網(wǎng)絡中,比特錯誤率(bit error rate,BER)的估計是許多上層協(xié)議的基礎,對數(shù)據(jù)傳輸?shù)男阅芫哂兄匾挠绊?目前已成為一個重要的研究課題.但是現(xiàn)有BER估計編碼未考慮實際網(wǎng)絡的BER分布特征,估計誤差較大.在實測分析802.11無線網(wǎng)絡的BER分布特征的基礎上,提出了一種采用差異化思想來提高BER估計準確度的方法差異化估錯碼(differentiated error estimation,DEE),其主要思想是在數(shù)據(jù)包中插入具有不同估錯能力的多級估錯位,并隨機均勻地分布各估錯位.然后,借助BER與奇偶校驗錯誤概率的理論關系來估計BER.此外,DEE利用BER非均勻分布特征來優(yōu)化各級估錯位的能力,提高出現(xiàn)概率較高的BER的估計準確度,以降低平均估計誤差.在7個節(jié)點組成的測試床上評價了DEE的性能.實驗結果表明,與最近的研究成果估錯碼(error estimation code,EEC)相比,DEE可將估計誤差平均減少約44%.當估錯冗余較低時DEE可將估計誤差減少約68%.此外,DEE具有比EEC更小的估計偏差.
[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.
【作者單位】： 中國科學院計算技術研究所;中國科學院大學;
【基金】：國家“九七三”重點基礎研究發(fā)展計劃基金項目(2011CB302803) 國家自然科學基金項目(61100180,61202412) 中國科學院戰(zhàn)略性先導科技專項項目(XDA060307000) 國家科技重大專項項目(2010ZX03006-006)
【分類號】：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.
【作者單位】： 中國科學院計算技術研究所;中國科學院大學;
【基金】：國家“九七三”重點基礎研究發(fā)展計劃基金項目(2011CB302803) 國家自然科學基金項目(61100180,61202412) 中國科學院戰(zhàn)略性先導科技專項項目(XDA060307000) 國家科技重大專項項目(2010ZX03006-006)
【分類號】：TP391.48
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