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    Meta Distribution of Downlink SIR for Binomial Point Processes

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    Type
    Article
    Authors
    Kouzayha, Nour Hicham cc
    El Sawy, Hesham
    Dahrouj, Hayssam cc
    Al-Naffouri, Tareq Y. cc
    KAUST Department
    Center of Excellence for NEOM Research
    Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
    Electrical and Computer Engineering Program
    Office of the President
    Date
    2021-04-21
    Online Publication Date
    2021-04-21
    Print Publication Date
    2021-07
    Permanent link to this record
    http://hdl.handle.net/10754/668956
    
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    Abstract
    The meta distribution (MD) of the signal to interference ratio (SIR) extends stochastic geometry analysis from spatial averages to reveals find-grained information about the network performance. There have been several efforts to establish the MD framework for the Poisson point process (PPP) and other ergodic point processes. However, the MD analysis for finite point processes is overlooked. In this paper, we develop the MD of the binomial point process (BPP), which is practical for cases with a priori knowledge about the number of devices as well as their geographical spatial existence. For such finite models, we define the MD as a location-dependent likelihood of a receiver to achieve a required SIR with a probability more than a predefined threshold. The letter also extends the MD of the BPP to find the MD of finite PPP and verifies the convergence of the newly derived MD to the ergodic PPP’s MD. The obtained analytical derivations are validated using Monte-Carlo simulations.
    Citation
    Kouzayha, N., El Sawy, H., Dahrouj, H., & Al-Naffouri, T. Y. (2021). Meta Distribution of Downlink SIR for Binomial Point Processes. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2021.3074399
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Wireless Communications Letters
    DOI
    10.1109/lwc.2021.3074399
    Additional Links
    https://ieeexplore.ieee.org/document/9409117/
    ae974a485f413a2113503eed53cd6c53
    10.1109/lwc.2021.3074399
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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