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3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Local Independent Control of Cognitive Radio Networks

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CROWNCOM.2008.4562476,
        author={Christian Doerr and Dirk Grunwald and Douglas Sicker},
        title={Local Independent Control of Cognitive Radio Networks},
        proceedings={3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={7},
        keywords={cognitive radio networks emergent behavior swarm intelligence dynamic spectrum allocation},
        doi={10.1109/CROWNCOM.2008.4562476}
    }
    
  • Christian Doerr
    Dirk Grunwald
    Douglas Sicker
    Year: 2008
    Local Independent Control of Cognitive Radio Networks
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2008.4562476
Christian Doerr1,*, Dirk Grunwald1,*, Douglas Sicker1,*
  • 1: Department of Computer Science University of Colorado at Boulder Boulder, CO 80309-0430
*Contact email: Christian.Doerr@colorado.edu, dirk.grunwald@colorado.edu, douglas.sicker@colorado.edu

Abstract

Many different algorithms for managing cognitive radio networks have been proposed. While these algorithms have applied the whole range from centrally managed to distributed control schemes, a common feature of previous work is the reliance on explicit communication to exchange and negotiate configuration information. This paper describes a new class of cognitive radio control algorithms employing local independent control based upon swarming behavior found in nature. We examine the feasibility of such local independent control in a testbed implementation of the algorithm, configuring and dynamically adapting a cognitive radio network. We find that approach is suited to coordinate a cognitive radio network based on passive observation of its environment only and may coordinate with other control algorithms deployed in heterogeneous secondary user networks.

Keywords
cognitive radio networks emergent behavior swarm intelligence dynamic spectrum allocation
Published
2008-07-15
Publisher
IEEE
Modified
2010-05-16
http://dx.doi.org/10.1109/CROWNCOM.2008.4562476
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