SIR Analysis in 3D UAV Networks: A Stochastic Geometry Approach

SIR Analysis in 3D UAV Networks: A Stochastic Geometry Approach

In this work, a mathematical framework to evaluate the performance of a finite, three dimensional (3D) unmanned aerial vehicle (UAV) network in the presence of interference is developed. The framework builds upon stochastic geometry tools and specifically the binomial point process (BPP) for the spa...

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Bibliographic Details
Main Authors: Charalampos K. Armeniakos, Petros S. Bithas, Athanasios G. Kanatas
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Binomial point process
bit error rate
capacity
coverage probability
Nakagami-<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">m</italic> fading
stochastic geometry
Online Access:https://ieeexplore.ieee.org/document/9252889/

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https://ieeexplore.ieee.org/document/9252889/

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