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    Average bit error probability of binary coherent signaling over generalized fading channels subject to additive generalized gaussian noise

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    Type
    Article
    Authors
    Soury, Hamza cc
    Yilmaz, Ferkan
    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
    2012-06
    Permanent link to this record
    http://hdl.handle.net/10754/561406
    
    Metadata
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    Abstract
    This letter considers the average bit error probability of binary coherent signaling over flat fading channels subject to additive generalized Gaussian noise. More specifically, a generic closed form expression in terms of the Fox's H function is offered for the extended generalized-K fading case. Simplifications for some special fading distributions such as generalized-K fading and Nakagami-m fading and special additive noise distributions such as Gaussian and Laplacian noise are then presented. Finally, the mathematical formalism is illustrated by some numerical examples verified by computer based simulations for a variety of fading and additive noise parameters. © 2012 IEEE.
    Citation
    Soury, H., Yilmaz, F., & Alouini, M.-S. (2012). Average Bit Error Probability of Binary Coherent Signaling over Generalized Fading Channels Subject to Additive Generalized Gaussian Noise. IEEE Communications Letters, 16(6), 785–788. doi:10.1109/lcomm.2012.040912.112612
    Sponsors
    This work was supported by King Abdullah University of Science and Technology (KAUST).
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Communications Letters
    DOI
    10.1109/LCOMM.2012.040912.112612
    ae974a485f413a2113503eed53cd6c53
    10.1109/LCOMM.2012.040912.112612
    Scopus Count
    Collections
    Articles; 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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