Packet/cell loss recovery using variable FEC matrix for real time transport services over best effort networks

M. Hayasaka, Luis Loyola, Tetsuya Miki
{"title":"Packet/cell loss recovery using variable FEC matrix for real time transport services over best effort networks","authors":"M. Hayasaka, Luis Loyola, Tetsuya Miki","doi":"10.1109/APCC.2003.1274274","DOIUrl":null,"url":null,"abstract":"Real-time services over best-effort networks, such as teleconferencing over unspecified bit rate (UBR) class asynchronous transfer mode (ATM) networks or the Internet, are expected to be in high demand in the near future as such services become more cost effective. However, cell loss caused by buffer overflow at switches is a serious problem in this service class, and is responsible for degradation of the quality of service (QoS). A promising technology for improving the QoS of best-effort networks is the recovery of lost cells by forward error correction (FEC). Conventional FEC methods utilize a FEC matrix with fixed dimensions and which is usually designed to cope with the worst case of cell loss. In this paper, a new method that provides dynamic recovery capacity to deal with the current cell loss ratio through the use of a variable-dimension FEC matrix is proposed. The scheme also takes into account the coding method of the matrix to provide data prioritization. Numerical results show that the cell loss ratio and transmission efficiency of the proposed method are superior to those of conventional methods.","PeriodicalId":277507,"journal":{"name":"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"9th Asia-Pacific Conference on Communications (IEEE Cat. No.03EX732)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCC.2003.1274274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Real-time services over best-effort networks, such as teleconferencing over unspecified bit rate (UBR) class asynchronous transfer mode (ATM) networks or the Internet, are expected to be in high demand in the near future as such services become more cost effective. However, cell loss caused by buffer overflow at switches is a serious problem in this service class, and is responsible for degradation of the quality of service (QoS). A promising technology for improving the QoS of best-effort networks is the recovery of lost cells by forward error correction (FEC). Conventional FEC methods utilize a FEC matrix with fixed dimensions and which is usually designed to cope with the worst case of cell loss. In this paper, a new method that provides dynamic recovery capacity to deal with the current cell loss ratio through the use of a variable-dimension FEC matrix is proposed. The scheme also takes into account the coding method of the matrix to provide data prioritization. Numerical results show that the cell loss ratio and transmission efficiency of the proposed method are superior to those of conventional methods.
利用可变FEC矩阵进行最佳努力网络上实时传输服务的包/单元丢失恢复
在尽力而为的网络上的实时服务,例如在未指定比特率(UBR)类异步传输模式(ATM)网络或Internet上的电话会议,预计在不久的将来会有很高的需求,因为此类服务变得更具成本效益。然而,由交换机缓冲区溢出引起的小区丢失是该服务类别中的一个严重问题,并且会导致服务质量(QoS)的降低。通过前向纠错(FEC)恢复丢失的小区是一种很有前途的提高最佳努力网络QoS的技术。传统的FEC方法使用固定尺寸的FEC矩阵,并且通常设计用于处理最坏的电池丢失情况。本文提出了一种利用变维FEC矩阵处理当前电池损失率的新方法,该方法提供了动态恢复能力。该方案还考虑了矩阵的编码方法,以提供数据优先级。数值计算结果表明,该方法的单元损失率和传输效率均优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信