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    Performance analysis of adaptive modulation for cognitive radios with opportunistic access

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    Type
    Conference Paper
    Authors
    Chen, Yunfei
    Alouini, Mohamed-Slim cc
    Tang, Liang
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2011-06
    Permanent link to this record
    http://hdl.handle.net/10754/564383
    
    Metadata
    Show full item record
    Abstract
    The performance of adaptive modulation for cognitive radio with opportunistic access is analyzed by considering the effects of spectrum sensing and primary user traffic for Nakagami-m fading channels. Both the adaptive continuous rate scheme and the adaptive discrete rate scheme are considered. Numerical results show that spectrum sensing and primary user traffic cause considerable degradation to the bit error rate performance of adaptive modulation in a cognitive radio system with opportunistic access to the licensed channel. They also show that primary user traffic does not affect the link spectral efficiency performance of adaptive modulation, while the spectrum sensing degrades the link spectral efficiency performance. © 2011 IEEE.
    Citation
    Chen, Y., Alouini, M.-S., & Tang, L. (2011). Performance Analysis of Adaptive Modulation for Cognitive Radios with Opportunistic Access. 2011 IEEE International Conference on Communications (ICC). doi:10.1109/icc.2011.5963432
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2011 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2011 IEEE International Conference on Communications, ICC 2011
    ISBN
    9781612842332
    DOI
    10.1109/icc.2011.5963432
    ae974a485f413a2113503eed53cd6c53
    10.1109/icc.2011.5963432
    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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