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.
Highlights
T HE exponential growth of wireless data driven by mobile devices has promoted the need for non-terrestrial networks [1]
NUMERICAL RESULTS we analyze the performances of drone mobile networks under the path-loss based strategies
MONTE-CARLO SIMULATIONS The method utilized for evaluating the spectral efficiency and outage probability in single-user multi-antenna drone mobile networks with CB using Monte-Carlo simulations are presented below
Summary
T HE exponential growth of wireless data driven by mobile devices (e.g., tablets) has promoted the need for non-terrestrial networks [1]. It’s a challenging task for operators to provide data services in special use-cases and circumstances such as large-gatherings (e.g., competitions) and man-made or natural disasters (e.g., earthquake). The latter in particular, is unpredictable by nature and has critical effects in terms of both ecological and economic costs. The conventional cellular communication systems are difficult to provide stable and reliable network connectivity. Drone assisted network is considered as a potential scheme for improving conventional terrestrial cellular networks, so it has received considerable attention in both industry and academia recently. The results shown that the UAVbased solution can provide stable network access capabilities compared to conventional systems in the scenario of largescale gatherings and terrestrial communication infrastructure
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