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    Unified tractable model for downlink MIMO cellular networks using stochastic geometry

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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
    2016-07-26
    Online Publication Date
    2016-07-26
    Print Publication Date
    2016-05
    Permanent link to this record
    http://hdl.handle.net/10754/621341
    
    Metadata
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    Abstract
    Several research efforts are invested to develop stochastic geometry models for cellular networks with multiple antenna transmission and reception (MIMO). On one hand, there are models that target abstract outage probability and ergodic rate for simplicity. On the other hand, there are models that sacrifice simplicity to target more tangible performance metrics such as the error probability. Both types of models are completely disjoint in terms of the analytic steps to obtain the performance measures, which makes it challenging to conduct studies that account for different performance metrics. This paper unifies both techniques and proposes a unified stochastic-geometry based mathematical paradigm to account for error probability, outage probability, and ergodic rates in MIMO cellular networks. The proposed model is also unified in terms of the antenna configurations and leads to simpler error probability analysis compared to existing state-of-the-art models. The core part of the analysis is based on abstracting unnecessary information conveyed within the interfering signals by assuming Gaussian signaling. To this end, the accuracy of the proposed framework is verified against state-of-the-art models as well as system level simulations. We provide via this unified study insights on network design by reflecting system parameters effect on different performance metrics. © 2016 IEEE.
    Citation
    Afify LH, ElSawy H, Al-Naffouri TY, Alouini M-S (2016) Unified tractable model for downlink MIMO cellular networks using stochastic geometry. 2016 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2016.7510959.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    2016 IEEE International Conference on Communications (ICC)
    Conference/Event name
    2016 IEEE International Conference on Communications, ICC 2016
    DOI
    10.1109/ICC.2016.7510959
    ae974a485f413a2113503eed53cd6c53
    10.1109/ICC.2016.7510959
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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