1st International ICST Workshop on Cognitive Wireless Networks

Research Article

A Localized and Distributed Channel Assignment Framework for Cognitive Radio Networks

  • @INPROCEEDINGS{10.1145/1577382.1577383,
        author={Anthony Plummer Jr. and Tao Wu and Subir Biswas},
        title={A Localized and Distributed Channel Assignment Framework for Cognitive Radio Networks},
        proceedings={1st International ICST Workshop on Cognitive Wireless Networks},
        publisher={ACM},
        proceedings_a={CWNETS},
        year={2007},
        month={8},
        keywords={Cognitive Network Conflict Graphs Distributed Channel Assignment},
        doi={10.1145/1577382.1577383}
    }
    
  • Anthony Plummer Jr.
    Tao Wu
    Subir Biswas
    Year: 2007
    A Localized and Distributed Channel Assignment Framework for Cognitive Radio Networks
    CWNETS
    ACM
    DOI: 10.1145/1577382.1577383
Anthony Plummer Jr.1,*, Tao Wu1,*, Subir Biswas1,*
  • 1: Electrical and Computer Engineering Department Michigan State University
*Contact email: plumme23@msu.edu, wutao2@msu.edu, sbiswas@msu.edu

Abstract

The availability of multiple interfaces and channels in wireless devices is expected to alleviate the capacity limitations that exist in traditional single channel wireless mesh networks. Although having multiple radio interfaces and available channels can generally increase the effective throughput, a problem arises as to what is the best strategy to dynamically assign available channels to multiple radio interfaces for maximizing effective network throughput by minimizing the interference. This paper presents a distributed and localized interference-aware channel assignment framework for multi-radio wireless mesh networks in a cognitive network environment. The proposed framework uses a novel interference estimation method by utilizing distributed conflict graphs at each network interface to model the interference. Extensive simulation studies in 802.11 based multi-radio mesh networks have been performed. The results indicate that for both local and multi-hop traffic, the proposed protocol can facilitate a large increase in network throughput in comparison with a Common Channel Assignment mechanism that is used as a benchmark in the literature.