Performance Analysis of UAV Enabled Disaster Recovery Network: A Stochastic Geometric Framework based on Matern Cluster Processes

Hayajneh, AM, Zaidi, SAR, McLernon, DC orcid.org/0000-0002-5163-1975 et al. (1 more author) (2017) Performance Analysis of UAV Enabled Disaster Recovery Network: A Stochastic Geometric Framework based on Matern Cluster Processes. In: IET 3rd International Conference on Intelligent Signal Processing (ISP 2017). ISP 2017, 04-05 Dec 2017, London, UK. Institution of Engineering and Technology . ISBN 978-1-78561-707-2

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: This paper is a postprint of a paper submitted to and accepted for the IET 3rd International Conference on Intelligent Signal Processing.
Keywords: Drone, Public safety, Stochastic geometry, Unmanned aerial vehicles, Coverage probability, Optimization, Heterogeneous networks.; autonomous aerial vehicles; statistical analysis; stochastic processes; cellular radio
Dates:
  • Published: 4 December 2017
  • Accepted: 1 August 2017
Institution: The University of Leeds
Funding Information:
FunderGrant number
EPSRCEP/P511341/1
Depositing User: Symplectic Publications
Date Deposited: 03 Nov 2017 13:08
Last Modified: 22 May 2018 15:58
Status: Published
Publisher: Institution of Engineering and Technology
Identification Number: https://doi.org/10.1049/cp.2017.0347

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