5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Location-based resource allocation for OFDMA cognitive radio systems

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  • @INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9154,
        author={Haewoon Nam and Mahdi Ben Ghorbel and Mohamed-Slim Alouini},
        title={Location-based resource allocation for OFDMA cognitive radio systems},
        proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2010},
        month={9},
        keywords={Cognitive radios resource allocation},
        doi={10.4108/ICST.CROWNCOM2010.9154}
    }
    
  • Haewoon Nam
    Mahdi Ben Ghorbel
    Mohamed-Slim Alouini
    Year: 2010
    Location-based resource allocation for OFDMA cognitive radio systems
    CROWNCOM
    IEEE
    DOI: 10.4108/ICST.CROWNCOM2010.9154
Haewoon Nam1,*, Mahdi Ben Ghorbel2,*, Mohamed-Slim Alouini2,*
  • 1: Mobile Devices Technology Office, Motorola Inc., Austin, TX, USA
  • 2: Electrical Engineering Program, King Abdullah University of Sciences and Technology, Thuwal, Makkah Province, Saudi Arabia
*Contact email: haewoon_nam@ieee.org, mahdi.benghorbel@kaust.edu.sa, slim.alouini@kaust.edu.sa

Abstract

In cognitive radio systems, in order for the secondary users to opportunistically share the spectrum without interfering the primary users, an accurate spectrum measurement and a precise estimation of the interference at the primary users are necessary but are challenging tasks. Since it is impractical in cognitive radio systems to assume that the channel state information of the interference link is available at the cognitive transmitter, the interference at the primary users is hard to be estimated accurately. This paper introduces a resource allocation algorithm for OFDMA-based cognitive radio systems, which utilizes location information of the primary and secondary users instead of the channel state information of the interference link. Simulation results show that it is indeed effective to incorporate location information into resource allocation so that a near-optimal capacity is achieved.