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    Generalized location-based resource allocation for OFDMA cognitive radio systems

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    Type
    Conference Paper
    Authors
    Ben Ghorbel, Mahdi
    Nam, Haewoon
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2010-09
    Permanent link to this record
    http://hdl.handle.net/10754/564295
    
    Metadata
    Show full item record
    Abstract
    Cognitive radio is one of the hot topics for emerging and future wireless communication. Cognitive users can share channels with primary users under the condition of non interference. In order to compute this interference, the cognitive system usually use the channel state information of the primary user which is often impractical to obtain. However, using location information, we can estimate this interference by pathloss computation. In this paper, we introduce a low-complexity resource allocation algorithm for orthogonal frequency division multiple access (OFDMA) based cognitive radio systems, which uses relative location information between primary and secondary users to estimate the interference. This algorithm considers interference with multiple primary users having different thresholds. The simulation results show the efficiency of the proposed algorithm by comparing it with an optimal exhaustive search method. © 2010 IEEE.
    Citation
    Ben Ghorbel, M., Nam, H., & Alouini, M.-S. (2010). Generalized location-based resource allocation for OFDMA cognitive radio systems. 2010 7th International Symposium on Wireless Communication Systems. doi:10.1109/iswcs.2010.5624549
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2010 7th International Symposium on Wireless Communication Systems
    Conference/Event name
    2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
    ISBN
    9781424463169
    DOI
    10.1109/ISWCS.2010.5624549
    ae974a485f413a2113503eed53cd6c53
    10.1109/ISWCS.2010.5624549
    Scopus Count
    Collections
    Conference Papers; Physical Science and Engineering (PSE) Division; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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