An independent but not identically distributed bit error model for heavy-tailed wireless channels  

作　　者：Jia LU Wei YANG Jun-hui WANG Bao-liang LI Wen-hua DOU 

机构地区：[1]School of Computer,National University of Defense Technology [2]Navy Academy of Armament

出　　处：《Journal of Zhejiang University-Science C(Computers and Electronics)》2013年第1期42-49,共8页浙江大学学报C辑（计算机与电子（英文版）

基　　金：Project supported by the National Natural Science Foundationof China (Nos. 61103010,61103190,and 60803100);the National Basic Research Program (973) of China (No. 2012CB933500);the High-Tech R&D Program (863) of China (No.2012AA011001)

摘　　要：The error patterns of a wireless channel can be represented by a binary sequence of ones(burst) and zeros(run),which is referred to as a trace.Recent surveys have shown that the run length distribution of a wireless channel is an intrinsically heavy-tailed distribution.Analytical models to characterize such features have to deal with the trade-off between complexity and accuracy.In this paper,we use an independent but not identically distributed(inid) stochastic process to characterize such channel behavior and show how to parameterize the inid bit error model on the basis of a trace.The proposed model has merely two parameters both having intuitive meanings and can be easily figured out from a trace.Compared with chaotic maps,the inid bit error model is simple for practical use but can still be deprived from heavy-tailed distribution in theory.Simulation results demonstrate that the inid model can match the trace,but with fewer parameters.We then propose an improvement on the inid model to capture the 'bursty' nature of channel errors,described by burst length distribution.Our theoretical analysis is supported by an experimental evaluation.The error patterns of a wireless channel can be represented by a binary sequence of ones （burst） and zeros （run）, which is referred to as a trace. Recent surveys have shown that the run length distribution of a wireless channel is an intrinsically heavy-tailed distribution. Analytical models to characterize such features have to deal with the trade-off between complexity and accuracy. In this paper, we use an independent but not identically distributed （inid） stochastic process to characterize such channel behavior and show how to parameterize the inid bit error model on the basis of a trace. The proposed model has merely two parameters both having intuitive meanings and can be easily figured out from a trace. Compared with chaotic maps, the inid bit error model is simple for practical use but can still be deprived from heavy-tailed distribution in theory. Simulation results demonstrate that the inid model can match the trace, but with fewer parameters. We then propose an improvement on the inid model to capture the ＇bursty＇ nature of channel errors, described by burst length distribution. Our theoretical analysis is supported by an experimental evaluation.

关 键 词：TRACE Heavy-tailed Independent but not identically distributed （inid） Bit error model Bursty 

分 类 号：TN911.5[电子电信—通信与信息系统]