Research Article
System-Level Performance Analysis in 3D Drone Mobile Networks
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@INPROCEEDINGS{10.1007/978-3-030-63941-9_23, author={Jiayi Huang and Arman Shojaeifard and Jie Tang and Kai-Kit Wong}, title={System-Level Performance Analysis in 3D Drone Mobile Networks}, proceedings={6GN for Future Wireless Networks. Third EAI International Conference, 6GN 2020, Tianjin, China, August 15-16, 2020, Proceedings}, proceedings_a={6GN}, year={2021}, month={1}, keywords={Drone cellular networks System-level analysis Stochastic geometry theory Performance boundary Monter-Carlo (MC) simulations}, doi={10.1007/978-3-030-63941-9_23} }- Jiayi Huang
Arman Shojaeifard
Jie Tang
Kai-Kit Wong
Year: 2021
System-Level Performance Analysis in 3D Drone Mobile Networks
6GN
Springer
DOI: 10.1007/978-3-030-63941-9_23
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.
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