Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models
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 soluti...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9454462/ |
| _version_ | 1819021028817371136 |
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| author | Jiayi Huang Jie Tang Arman Shojaeifard Zhen Chen Juncheng Hu Daniel Ka Chun So Kai-Kit Wong |
| author_facet | Jiayi Huang Jie Tang Arman Shojaeifard Zhen Chen Juncheng Hu Daniel Ka Chun So Kai-Kit Wong |
| author_sort | Jiayi Huang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T04:00:36Z |
| format | Article |
| id | doaj.art-86c6b327ab144fd480893f7733c3a153 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-21T04:00:36Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-86c6b327ab144fd480893f7733c3a1532022-12-21T19:16:44ZengIEEEIEEE Access2169-35362021-01-019905559056710.1109/ACCESS.2021.30892539454462Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility ModelsJiayi Huang0https://orcid.org/0000-0003-0428-5501Jie Tang1https://orcid.org/0000-0003-0619-0338Arman Shojaeifard2Zhen Chen3Juncheng Hu4Daniel Ka Chun So5https://orcid.org/0000-0002-7642-1755Kai-Kit Wong6https://orcid.org/0000-0001-7521-0078School of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaSchool of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaBT Labs, Ipswich, U.K.School of Electronic and Information Engineering, South China University of Technology, Guangzhou, ChinaSchool of Humanity and Management, Guilin Medical University, Guilin, ChinaSchool of Electrical and Electronic Engineering, The University of Manchester, Manchester, U.K.Department of Electronic and Electrical Engineering, University College London, London, U.K.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.https://ieeexplore.ieee.org/document/9454462/Drone mobile networksmobility modelsperformance boundarystochastic geometry theorysystem-level analysis |
| spellingShingle | Jiayi Huang Jie Tang Arman Shojaeifard Zhen Chen Juncheng Hu Daniel Ka Chun So Kai-Kit Wong Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models IEEE Access Drone mobile networks mobility models performance boundary stochastic geometry theory system-level analysis |
| title | Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models |
| title_full | Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models |
| title_fullStr | Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models |
| title_full_unstemmed | Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models |
| title_short | Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models |
| title_sort | drone mobile networks performance analysis under 3d tractable mobility models |
| topic | Drone mobile networks mobility models performance boundary stochastic geometry theory system-level analysis |
| url | https://ieeexplore.ieee.org/document/9454462/ |
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