Paper Info
Title
ACRA: An Autonomic and Expandable Architecture for Cognitive Radio Nodes
Abstract
Cognitive radio has been a research hotspot because of its promise to improve the utilization of the assigned but unused radio spectrum. The complexity of current networks has been a main drawback of network development, and so will the problem of cognitive radio networks. To solve the complexity problem, autonomic computing has been proposed to enable the network self-management. This paper puts emphasis on the autonomic cognitive radio nodes architecture for the purpose of establishing a cognitive radio network with autonomic computing property from bottom up. We model the cognitive cycle using autonomic computing principles and introduce an autonomic cognitive radio conceptual model. And then, an autonomic cognitive radio nodes architecture (ACRA) based on the proposed conceptual model and a realization method are proposed. ACRA can realize the cognitive radio function with autonomic computing property, which makes the collaboration and management in a network formed by this kind of node easier.
Year
DOI
Venue
2010
10.1109/WCSP.2010.5633818
WCSP
Keywords
Field
DocType
assl,cognitive radio node architecture,acra,network complexity,mpsoc,cognitive radio,autonomic cognitive radio nodes architecture,communication complexity,radio spectrum utilization,cognitive radio network,network self-management,autonomic computing,autonomie computing,telecommunication network management,sensors,computer architecture,bottom up,databases,spectrum,computational modeling,conceptual model
Autonomic computing,Network complexity,Computer science,Computer network,Communication complexity,Cognition,MPSoC,Radio spectrum,Cognitive radio,Cognitive network,Distributed computing
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4244-7554-4
1
0.36
References 
Authors
8
5
Name
Order
Citations
PageRank
Shixian Wang142.83
Lunguo Xie273.32
Hengzhu Liu38623.28
Botao Zhang45510.73
Heng Zhao5325.34