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    Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach

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    Type
    Conference Paper
    Authors
    Afify, Laila H. cc
    Elsawy, Hesham cc
    Al-Naffouri, Tareq Y. cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2015-09-14
    Online Publication Date
    2015-09-14
    Print Publication Date
    2015-06
    Permanent link to this record
    http://hdl.handle.net/10754/622545
    
    Metadata
    Show full item record
    Abstract
    In this work, we develop an analytical paradigm to analyze the average symbol error probability (ASEP) performance of uplink traffic in a multi-tier cellular network. The analysis is based on the recently developed Equivalent-in-Distribution approach that utilizes stochastic geometric tools to account for the network geometry in the performance characterization. Different from the other stochastic geometry models adopted in the literature, the developed analysis accounts for important communication system parameters and goes beyond signal-to-interference-plus-noise ratio characterization. That is, the presented model accounts for the modulation scheme, constellation type, and signal recovery techniques to model the ASEP. To this end, we derive single integral expressions for the ASEP for different modulation schemes due to aggregate network interference. Finally, all theoretical findings of the paper are verified via Monte Carlo simulations.
    Citation
    Afify LH, ElSawy H, Al-Naffouri TY, Alouini M-S (2015) Error performance analysis in K-tier uplink cellular networks using a stochastic geometric approach. 2015 IEEE International Conference on Communication Workshop (ICCW). Available: http://dx.doi.org/10.1109/ICCW.2015.7247160.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2015 IEEE International Conference on Communication Workshop (ICCW)
    Conference/Event name
    IEEE International Conference on Communication Workshop, ICCW 2015
    DOI
    10.1109/ICCW.2015.7247160
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICCW.2015.7247160
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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