About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

On the Efficiency and Complexity of Distributed Spectrum Allocation

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CROWNCOM.2007.4549824,
        author={Lili Cao and Haitao Zheng},
        title={On the Efficiency and Complexity of Distributed Spectrum Allocation},
        proceedings={2nd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2008},
        month={6},
        keywords={Algorithm design and analysis  Cognitive radio  Collaboration  Computer science  Convergence  Interference  Network topology  Performance analysis  Upper bound  WiMAX},
        doi={10.1109/CROWNCOM.2007.4549824}
    }
    
  • Lili Cao
    Haitao Zheng
    Year: 2008
    On the Efficiency and Complexity of Distributed Spectrum Allocation
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2007.4549824
Lili Cao1,*, Haitao Zheng1,*
  • 1: Department of Computer Science University of California, Santa Barbara, CA 93106 U.S.A
*Contact email: lilicao@cs.ucsb.edu, htzheng_g@cs.ucsb.edu

Abstract

We study the efficiency and complexity of a distributed spectrum allocation algorithm using explicit user coordination. Users self-organize into coordination groups and adjust spectrum assignments in each local group to approximate an optimal assignment. Compared to the conventional topologybased optimizations, local coordination can significantly reduce the computation and communication overhead required to adapt to topology variations. We focus on analyzing the end-user performance in terms of spectrum efficiency and communication overhead. We derive a theoretical lower bound on the amount of spectrum each user can get from coordination, and a theoretical upper bound on the algorithm convergence time.We also perform experiments to verify our analytical results.

Keywords
Algorithm design and analysis Cognitive radio Collaboration Computer science Convergence Interference Network topology Performance analysis Upper bound WiMAX
Published
2008-06-24
Publisher
IEEE
Modified
2011-08-01
http://dx.doi.org/10.1109/CROWNCOM.2007.4549824
Copyright © 2007–2025 IEEE
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL