Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2013, Vol. 14 Issue (1): 42-49    DOI: 10.1631/jzus.C1200175
    
An independent but not identically distributed bit error model for heavy-tailed wireless channels
Jia Lu, Wei Yang, Jun-hui Wang, Bao-liang Li, Wen-hua Dou
School of Computer, National University of Defense Technology, Changsha 410073, China; Navy Academy of Armament, Beijing 10036, China
An independent but not identically distributed bit error model for heavy-tailed wireless channels
Jia Lu, Wei Yang, Jun-hui Wang, Bao-liang Li, Wen-hua Dou
School of Computer, National University of Defense Technology, Changsha 410073, China; Navy Academy of Armament, Beijing 10036, China
 全文: PDF 
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.
关键词： Trace;  Heavy-tailed;  Independent but not identically distributed (inid);  Bit error model;  Bursty    
Abstract: 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.
Key words: Trace    Heavy-tailed    Independent but not identically distributed (inid)    Bit error model    Bursty
收稿日期: 2012-06-05 出版日期: 2013-01-03
CLC:  TN911  
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
Jia Lu
Wei Yang
Jun-hui Wang
Bao-liang Li
Wen-hua Dou

引用本文:

Jia Lu, Wei Yang, Jun-hui Wang, Bao-liang Li, Wen-hua Dou. An independent but not identically distributed bit error model for heavy-tailed wireless channels. Front. Inform. Technol. Electron. Eng., 2013, 14(1): 42-49.

链接本文:

http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1200175    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2013/V14/I1/42

[1] Ding Wang, Shuai Wei, Ying Wu. 多星联合定位理论性能分析[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(12): 1360-1387.
[2] Yu-Tang Zhu, Jun-yong Liu, Yong-Bo Zhao, Jun Liu, Peng-Lang Shui. 基于正定约束广义秩信号模型的低复杂度稳健自适应算法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(11): 1245-1252.
[3] Wei Xia, Ju-lei Zhu, Wen-ying Jiang, Ling-feng Zhu. 考虑输入噪声的混合调制拉格朗日明确时延估计改进算法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(10): 1067-1073.
[4] Jian Wu, Ting-ting Zhou, Bo Yuan, Li-qiang Wang. 一种用于位移传感器的数字莫尔方法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(9): 946-953.
[5] Xiao-ming Gou, Zhi-wen Liu, Wei Liu, You-gen Xu. 三元数域自适应滤波与跟踪算法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(8): 834-840.
[6] Ning Du, Fa-sheng Liu. 一种新颖的多小区正交频分多址中继网络资源优化分配算法[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(8): 825-833.
[7] Meng-di Jiang, Yi Li, Wei Liu. 一般四元数函数梯度的定义、特性及在信号处理领域的应用[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(2): 83-95.
[8] Min Yuan, Bing-xin Yang, Yi-de Ma, Jiu-wen Zhang, Fu-xiang Lu, Tong-feng Zhang. 基于多尺度UDCT域字典学习及分块约束型分裂增广拉格朗日收缩算法的高度欠采样磁共振图像重构[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(12): 1069-1087.
[9] Michaelraj Kingston Roberts, Ramesh Jayabalan. 一种改进的用于低密度奇偶校验码的低复杂度和积译码[J]. Front. Inform. Technol. Electron. Eng., 2015, 16(6): 511-518.
[10] Suparerk Janjarasjitt. 基于小波分析的癫痫脑电图自相似性测量[J]. Front. Inform. Technol. Electron. Eng., 2014, 15(12): 1147-1153.
[11] Shun-wai Zhang, Feng-fan Yang, Lei Tang. An LDPC coded cooperative MIMO scheme over Rayleigh fading channels with unknown channel state information[J]. Front. Inform. Technol. Electron. Eng., 2013, 14(1): 30-41.
[12] Li Yao, Dong-xiao Li, Jing Zhang, Liang-hao Wang, Ming Zhang. Accurate real-time stereo correspondence using intra- and inter-scanline optimization[J]. Front. Inform. Technol. Electron. Eng., 2012, 13(6): 472-482.
[13] Ke-di Wu, Zhao-yang Zhang, Shao-lei Chen, Sheng-tian Yang, Pei-liang Qiu. Serial decoding of rateless code over noisy channels[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(10): 855-866.
[14] Xiao Hu, Zhong Xiao, Ni Zhang. Removal of baseline wander from ECG signal based on a statistical weighted moving average filter[J]. Front. Inform. Technol. Electron. Eng., 2011, 12(5): 397-403.
[15] Yi Liu, Jian-hua Zhang, Wei Xu, Ze-min Liu. Statistical assessment of selection-based dual-hop semi-blind amplify-and-forward cooperative networks[J]. Front. Inform. Technol. Electron. Eng., 2010, 11(10): 785-792.