Statistical Characterization of<scp>URLLC</scp>: Frequentist and Bayesian Approaches

Kallehauge, Tobias; Ramírez-Espinosa, Pablo; Kalør, Anders E.; Popovski, Petar

doi:10.1002/9781119818366.ch2

Ultra‐Reliable and Low‐Latency Communications (URLLC) Theory and Practice 2023

DOI: 10.1002/9781119818366.ch2

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Statistical Characterization ofURLLC: Frequentist and Bayesian Approaches

Tobias Kallehauge

Pablo Ramírez-Espinosa

Anders E. Kalør

et al.

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2024

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Cited by 1 publication

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The Lomax Distribution for Wireless Channel Modeling: Theory and Applications

Sánchez,

López-Martínez

2024

IEEE Open J. Veh. Technol.

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We investigate the application of the Lomax distribution for wireless fading modeling purposes. By a proper redefinition of its scale parameter, we present closed-form expressions for its main statistics: probability density function, cumulative distribution function, raw moments and Laplacedomain statistics. Then, relevant performance indicators are derived, including the amount of fading, channel capacity, outage probability and error rate. Other applications include diversity reception using selection combining, as well as composite fading modeling. The Lomax distribution is compared to the relevant case of Rayleigh fading, and to other benchmark distributions of similar complexity used in the literature.

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The Lomax Distribution for Wireless Channel Modeling: Theory and Applications

Sánchez,

López-Martínez

2024

IEEE Open J. Veh. Technol.

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Statistical Characterization ofURLLC: Frequentist and Bayesian Approaches

Cited by 1 publication

References 29 publications

The Lomax Distribution for Wireless Channel Modeling: Theory and Applications

The Lomax Distribution for Wireless Channel Modeling: Theory and Applications

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