Performance bounds for a cognitive radio network with network calculus analysis

Yuehong Gao, Yuming Jiang, Tao Lin, Xin Zhang
{"title":"Performance bounds for a cognitive radio network with network calculus analysis","authors":"Yuehong Gao, Yuming Jiang, Tao Lin, Xin Zhang","doi":"10.1109/ICNIDC.2010.5659456","DOIUrl":null,"url":null,"abstract":"In this paper, we use stochastic network calculus to analyze the performance bounds for a cognitive radio network with two classes of input traffic. First, stochastic service curves for primary users and secondary users are obtained based on the system model and stochastic network calculus. Then, we derive the general expressions of backlog and delay bounds for both primary and secondary users under two methods, i.e., min-plus convolution and independent case analysis. Finally, numerical results as well as simulation results are compared and discussed.","PeriodicalId":348778,"journal":{"name":"2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd IEEE InternationalConference on Network Infrastructure and Digital Content","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNIDC.2010.5659456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

In this paper, we use stochastic network calculus to analyze the performance bounds for a cognitive radio network with two classes of input traffic. First, stochastic service curves for primary users and secondary users are obtained based on the system model and stochastic network calculus. Then, we derive the general expressions of backlog and delay bounds for both primary and secondary users under two methods, i.e., min-plus convolution and independent case analysis. Finally, numerical results as well as simulation results are compared and discussed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于网络演算分析的认知无线网络性能边界
本文利用随机网络演算分析了具有两类输入流量的认知无线网络的性能边界。首先,基于系统模型和随机网络演算,得到了主用户和次用户的随机服务曲线;然后,在最小加卷积和独立案例分析两种方法下,导出了主用户和次用户的积压界和延迟界的一般表达式。最后,对数值结果和仿真结果进行了比较和讨论。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Subcarrier and power allocation in cognitive OFDM systems under imperfect CSI with smart channel estimation Spectrum leasing via selective cooperation in distributed cognitive radio networks Secondary user dominated channel reservation in Cognitive Radio Performance bounds for a cognitive radio network with network calculus analysis Countermeasure techniques for SEED hardware modules against differential power analysis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1