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System-Level Performance Analysis in 3D Drone Mobile Networks

Huang, J; Shojaeifard, A; Tang, J; Wong, KK; (2020) System-Level Performance Analysis in 3D Drone Mobile Networks. In: International Conference on 5G for Future Wireless Networks. (pp. pp. 311-322). Springer: Cham, Switzerland. Green open access

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Abstract

We present a system-level analysis for drone mobile networks on a finite three-dimensional (3D) space. A performance boundary derived by deterministic random (Brownian) motion model over Nakagami-m fading interfering channels is developed. This method allows us to circumvent the extremely complex reality model and obtain the upper and lower performance bounds of actual drone mobile networks. The validity and advantages of the proposed framework are confirmed via extensive Monte-Carlo (MC) simulations. The results reveal several important trends and design guidelines for the practical deployment of drone mobile networks.

Type: Proceedings paper
Title: System-Level Performance Analysis in 3D Drone Mobile Networks
Event: 6GN for Future Wireless Networks Third EAI International Conference (6GN 2020)
ISBN-13: 978-3-030-63940-2
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-63941-9_23
Publisher version: https://doi.org/10.1007/978-3-030-63941-9_23
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Drone cellular networks, System-level analysis, Stochastic geometry theory, Performance boundary, Monter-Carlo (MC) simulations
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10124127
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