Cognitive Capacity Harvesting Networks: Architectural Evolution Toward Future Cognitive Radio Networks

Haichuan Ding, Yuguang Fang*, Xiaoxia Huang, Miao Pan, Pan Li, Savo Glisic

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

56 引用 (Scopus)

摘要

Cognitive radio technologies enable users to opportunistically access unused licensed spectrum and are viewed as a promising way to deal with the current spectrum crisis. Over the last 15 years, cognitive radio technologies have been extensively studied from algorithmic design to practical implementation. One pressing and fundamental problem is how to integrate cognitive radios into current wireless networks to enhance network capacity and improve users' experience. Unfortunately, existing solutions to cognitive radio networks (CRNs) suffer from many practical design issues. To foster further research activities in this direction, we attempt to provide a tutorial for CRN architecture design. Noticing that an effective architecture for CRNs is still lacking, in this tutorial, we systematically summarize the principles for CRN architecture design and present a novel flexible network architecture, termed cognitive capacity harvesting network (CCHN), to elaborate on how a CRN architecture can be designed. Unlike existing architectures, we introduce a new network entity, called secondary service provider, and deploy cognitive radio capability enabled routers, called cognitive radio routers, in order to effectively and efficiently manage resource harvesting and mobile traffic while enabling users without cognitive radios to access and enjoy CCHN services. Our analysis shows that our CCHN aligns well to industrial standardization activities and hence provides a viable approach to implementing future CRNs. We hope that our proposed design approach opens a new venue to future CRN research.

源语言英语
文章编号7869329
页(从-至)1902-1923
页数22
期刊IEEE Communications Surveys and Tutorials
19
3
DOI
出版状态已出版 - 1 7月 2017
已对外发布

指纹

探究 'Cognitive Capacity Harvesting Networks: Architectural Evolution Toward Future Cognitive Radio Networks' 的科研主题。它们共同构成独一无二的指纹。

引用此