Resource flow:Autonomous cognitive resource management framework for future networks

查看全文 作　　者：YANG [1]ChunGang;LI [1]JianDong;SHENG [1]Min;LIU [1]Qin;HOU [1]RongHui;LI [1]HongYan

机构地区：[1]State Key Laboratory of lntegrated Serviee Networks,Xidian University,Xi'an 710071,China

出　　处：《Chinese Science Bulletin》索引2012年第57卷第28期,共7页

基　　金：supported by the National Basic Research Program of China(2009CB320400);the Program for Changjiang Scholars and Innovative Research Teams in Universities,National High Technology Research and Development Program of China(2007AA01Z288);the National Natural Science Foundation of China(60572146,60902032,60902033 and 60972047);Natural Science Basic Research Plan in Shaanxi Province of China(2012JQ8012);the Program of Introducing Talents of Discipline to Universities(B08038) 摘　　要：From an end-to-end performance perspective,a multi-agent-based cognitive resource management(MA-CRM) framework is proposed in this article.More importantly,we introduce a novel concept of resource flow(RF) as integrated CRM in a multi-dimensional environment scenario.We concentrate on the autonomous CRM framework in cognitive radio(CR) networks.Specifically,we first summarize the necessity of the novel concept for implementing intelligent and autonomous resource management considering both the requirements of various types of resource and the unified framework of the CRM scheme.Then,we introduce the concept of RF,including the technical aspects,purpose,classification,and description.Finally,we give a use case of RF for autonomous CRM,where the optimal RF is achieved to guarantee the resource-imbalanced requests of different service traffic flows. 关键词：资源管理管理框架网络源流多AGENT 客户关系管理 CRM 认知无线电

相关文献

参考文献（13）
引证文献（4）
耦合文献（6）

参考文献(13)

引证文献(4)

耦合文献(6)

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费

Resource flow:Autonomous cognitive resource management framework for future networks

参考文献(13)

引证文献(4)

耦合文献(6)

用户提示