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    An MGF-based capacity analysis of equal gain combining over fading channels

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    Type
    Conference Paper
    Authors
    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
    2010-09
    Permanent link to this record
    http://hdl.handle.net/10754/564293
    
    Metadata
    Show full item record
    Abstract
    Exact average capacity results for L-branch coherent equal-gain combining (EGC) in correlated and uncorrelated fading channels are not known. This paper develops a novel framework (approach) for capacity analysis of L-branch EGC in generalized fading channels. In addition, Gamma shadowed generalized Nakagami-m fading model is proposed in order to statistically model the fading environments in high frequencies such as 60 GHz and above. Some simulations are carried out and then the obtained results are accentuated by means of numerical analysis based on the proposed framework. Numerical and simulation results, performed to verify the correctness of the proposed framework, are in perfect agreement. ©2010 IEEE.
    Citation
    Yilmaz, F., & Alouini, M.-S. (2010). An MGF-based capacity analysis of equal gain combining over fading channels. 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. doi:10.1109/pimrc.2010.5671659
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
    Conference/Event name
    2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
    ISBN
    9781424480166
    DOI
    10.1109/PIMRC.2010.5671659
    ae974a485f413a2113503eed53cd6c53
    10.1109/PIMRC.2010.5671659
    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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