标题:Predicting burst error statistics of digital wireless systems with HARQ
作者:Salih, Omar S. ;Wang, Cheng-Xiang ;Mesleh, Raed ;Ge, Xiaohu ;Yuan, Dongfeng
作者机构:[Salih, Omar S. ;Wang, Cheng-Xiang ] School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, EH14 4AS, United Kingdom;[Ge, Xia 更多
会议名称:2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
会议日期:1 July 2013 through 5 July 2013
来源:2013 9th International Wireless Communications and Mobile Computing Conference, IWCMC 2013
出版年:2013
页码:276-281
DOI:10.1109/IWCMC.2013.6583572
关键词:Burst error statistics; Error models; Generative models; HARQ; Link error prediction
摘要:Hybrid Automatic Retransmission reQuest (HARQ) is an effective technique to improve the reliability of wireless communication systems by detecting, correcting, and retransmitting the erroneous packets. Packet-level error sequences obtained from physical layer wireless communication systems are important for the design and performance evaluation of high layer protocols, e.g., HARQ. In this paper, we utilize the open source Vienna long-term evolution (LTE) simulator to study the impact of HARQ on the burst error statistics of packet-level error sequences. Moreover, we propose a generative model that can generate packet-level error sequences with predicted burst error statistics similar to those of error sequences obtained from wireless systems with HARQ. Simulation results demonstrate that the proposed generative model is accurate and efficient in predicting the behavior of HARQ in terms of a set of burst error statistics rather than predicting the packet error rate (PER) only. © 2013 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883665082&doi=10.1109%2fIWCMC.2013.6583572&partnerID=40&md5=b773815f45bde2725e85e77ba03f65e3
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