{"title":"认知无线网络中基于连接度代价和奖励的算法","authors":"Yi Zhang, Yao Wang, Cen Wu, Bin Zhao, Jiamei Chen, Jing Dong","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00041","DOIUrl":null,"url":null,"abstract":"Spectrum management is a vital problem in cognitive radio networks. Unfortunately, most current spectrum management algorithms don't consider power control at the same time, which deviates from the original intention for cognitive radio (CR). Thus, a new spectrum management mechanism named Connection degree cost and Reward Based (CRB) algorithm for CR networks is presented in the paper. The new algorithm allocates available resources properly, while guaranteeing quality of service (QoS) for secondary users (SUs). And a new utility function is designed to characterize the system total utility more realistically in the network model. Numerical results validate the new algorithm gains better performance than the existing schemes both in the system total utility performance and in the system fairness performance.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Connection Degree Cost and Reward Based Algorithm in Cognitive Radio Networks\",\"authors\":\"Yi Zhang, Yao Wang, Cen Wu, Bin Zhao, Jiamei Chen, Jing Dong\",\"doi\":\"10.1109/IUCC/DSCI/SmartCNS.2019.00041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spectrum management is a vital problem in cognitive radio networks. Unfortunately, most current spectrum management algorithms don't consider power control at the same time, which deviates from the original intention for cognitive radio (CR). Thus, a new spectrum management mechanism named Connection degree cost and Reward Based (CRB) algorithm for CR networks is presented in the paper. The new algorithm allocates available resources properly, while guaranteeing quality of service (QoS) for secondary users (SUs). And a new utility function is designed to characterize the system total utility more realistically in the network model. Numerical results validate the new algorithm gains better performance than the existing schemes both in the system total utility performance and in the system fairness performance.\",\"PeriodicalId\":410905,\"journal\":{\"name\":\"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00041\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00041","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

频谱管理是认知无线电网络中的一个重要问题。然而,目前大多数频谱管理算法没有同时考虑功率控制,这偏离了认知无线电(CR)的初衷。为此,本文提出了一种新的基于连接度成本和奖励(Connection degree cost and Reward Based, CRB)的CR网络频谱管理机制。该算法在保证二级用户服务质量的前提下,合理分配可用资源。并设计了一个新的效用函数来更真实地表征网络模型中的系统总效用。数值结果表明,新算法在系统总效用性能和系统公平性性能上都优于现有方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Connection Degree Cost and Reward Based Algorithm in Cognitive Radio Networks
Spectrum management is a vital problem in cognitive radio networks. Unfortunately, most current spectrum management algorithms don't consider power control at the same time, which deviates from the original intention for cognitive radio (CR). Thus, a new spectrum management mechanism named Connection degree cost and Reward Based (CRB) algorithm for CR networks is presented in the paper. The new algorithm allocates available resources properly, while guaranteeing quality of service (QoS) for secondary users (SUs). And a new utility function is designed to characterize the system total utility more realistically in the network model. Numerical results validate the new algorithm gains better performance than the existing schemes both in the system total utility performance and in the system fairness performance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Message from the RTWC 2019 Workshop Chairs Message from the NGDN 2019 Workshop Chairs Ideation Support System with Personalized Knowledge Level Prediction Message from the DSCI 2019 General Chairs Connection Degree Cost and Reward Based Algorithm in Cognitive Radio Networks
×
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