1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Wireless Sensor based Dynamic Channel Selection in Cellular Communication by Cognitive Radio Approach

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1109/CROWNCOM.2006.363466,
    author={Torsha  Banerjee and Chittabrata  Ghosh and Dharma P.  Agrawal},
    title={Wireless Sensor based Dynamic Channel Selection in Cellular Communication by Cognitive Radio Approach},
    proceedings={1st International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
    publisher={IEEE},
    proceedings_a={CROWNCOM},
    year={2007},
    month={5},
    keywords={channel allocation cognitive radio interference temperature regression WFQ},
    doi={10.1109/CROWNCOM.2006.363466}
}
  • Torsha Banerjee
    Chittabrata Ghosh
    Dharma P. Agrawal
    Year: 2007
    Wireless Sensor based Dynamic Channel Selection in Cellular Communication by Cognitive Radio Approach
    CROWNCOM
    IEEE
    DOI: 10.1109/CROWNCOM.2006.363466
Torsha Banerjee1,*, Chittabrata Ghosh1,*, Dharma P. Agrawal1,*
  • 1: University of Cincinnati, Cincinnati, OH 45221-0030, OBR Center for Distributed and Mobile Computing
*Contact email: banerjta@ececs.uc.edu, ghoshc@ececs.uc.edu, dpa@ececs.uc.edu

Abstract

In a cellular communication scenario, wireless sensors can be deployed to sense the interference power of the frequency band. In an ideal channel, interference temperature (IT) which is directly proportional to the interference power can be assumed to vary spatially with the frequency of the sub channel. We propose a scheme for approximating ITs over an extended C-band (licensed and unused television band) by fitting sub channel frequencies and corresponding ITs to a regression model. Using this model, IT of a random sub channel can be calculated by the base station (BS) for further analysis of the channel interference. Our proposed model based on readings reported by sensors helps in dynamic channel selection (S-DCS) in extended C-band for assignment to unlicensed secondary users. S-DCS maximizes channel utilization and proves to be economic from energy consumption point of view. It also exhibits substantial amount of accuracy with error bound within 6.8%. Again, users are assigned empty sub channels without actually probing them, incurring minimum delay in the process. Overall channel allocation efficiency is also maximized along with fairness to individual users

Keywords
channel allocation cognitive radio interference temperature regression WFQ
Published
2007-05-21
Publisher
IEEE
http://dx.doi.org/10.1109/CROWNCOM.2006.363466
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