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Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models

Huang, J; Tang, J; Shojaeifard, A; Chen, Z; Hu, J; So, DKC; Wong, K-K; (2021) Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models. IEEE Access , 9 pp. 90555-90567. 10.1109/ACCESS.2021.3089253. Green open access

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Abstract

Reliable wireless communication networks are a significant but challenging mission for post-disaster areas and hotspots in the era of information. However, with the maturity of unmanned aerial vehicle (UAV) technology, drone mobile networks have attracted considerable attention as a prominent solution for facilitating critical communications. This paper provides a system-level analysis for drone mobile networks on a finite three-dimensional (3D) space. Our aim is to explore the fundamental performance limits of drone mobile networks taking into account practical considerations. Most existing works on mobile drone networks use simplified mobility models (e.g., fixed height), but the movement of the drones in practice is significantly more complicated, which leads to difficulties in analyzing the performance of the drone mobile networks. Hence, to tackle this problem, we propose a stochastic geometry-based framework with a number of different mobility models including a random Brownian motion approach. The proposed framework allows to circumvent the extremely complex reality model and obtain upper and lower performance bounds for drone networks in practice. Also, we explicitly consider certain constraints, such as the small-scale fading characteristics relying on line-of-sight (LOS) and non line-of-sight (NLOS) propagation, and multi-antenna operations. The validity of the mathematical findings is verified via Monte-Carlo (MC) simulations for various network settings. In addition, the results reveal some design guidelines and important trends for the practical deployment of drone networks.

Type: Article
Title: Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ACCESS.2021.3089253
Publisher version: http://dx.doi.org/10.1109/ACCESS.2021.3089253
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Keywords: Telecommunications, Computer Science, Engineering, Drone mobile networks, mobility models, performance boundary, stochastic geometry theory, system-level analysis, CELLULAR NETWORKS, CHANNEL MODEL, UAV NETWORKS, EFFICIENCY, DESIGN
UCL classification: UCL
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/10132352
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