Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

Mozaffari, Mohammad; Saad, Walid; Bennis, Mehdi; Debbah, Mérouane

doi:10.1109/lcomm.2016.2578312

Cited by 991 publications

(627 citation statements)

References 9 publications

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“…Such models are useful for studying large-scale fading effects in the channel [6], [7]. Hence the propagation conditions [8], [9] can provide coverage analysis and indicate the optimal UAV position [10]- [12]. The second approach is to develop a tapped delay line (TDL) model to characterize the direct path as well as the multipath components.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

715

346

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Unmanned aerial vehicles (UAVs) have gained great interest for rapid deployment in both civil and military applications. UAV communication has its own distinctive channel characteristics compared with widely used cellular and satellite systems. Thus, accurate channel characterization is crucial for the performance optimization and design of efficient UAV communication systems. However, several challenges exist in UAV channel modeling. For example, propagation characteristics of UAV channels are still less explored for spatial and temporal variations in non-stationary channels. Also, airframe shadowing has not yet been investigated for small size rotary UAVs. This paper provides an extensive survey on the measurement campaigns launched for UAV channel modeling using low altitude platforms and discusses various channel characterization efforts. We also review the contemporary perspective of UAV channel modeling approaches and outline some future research challenges in this domain.

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Section: Introductionmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

715

346

View full text Add to dashboard Cite

show abstract

“…Although many of the model-based approaches have very promising results, they often use the UABSs as a communication relay node, rather than providing directly service to the end user [5][6][7]. A disaster scenario, like ours, is addressed by [1,[8][9][10]. However, [8] offers a message communication system service through UABSs for electrical vehicles instead of providing service to the end user.…”

Section: Related Workmentioning

confidence: 99%

“…Their network does not have to address the same throughput as our emergency network. The approach of [9] is similar as ours, but it does not account for 3D information (such as buildings) in the environment. Furthermore, it is based on the behavior of winged UAVs which have to follow a certain trajectory instead of a helicopter drone which hover over a certain location.…”

Section: Related Workmentioning

confidence: 99%

Designing UAV-aided emergency networks for large-scale disaster scenarios

Deruyck

Wyckmans

Joseph

et al. 2018

J Wireless Com Network

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Today's wireless communication networks are very reliable. However, in case of a disaster, these networks can be overwhelmed by a tremendous amount of requests which they can not cope with. We propose a deployment tool for UAV (unmanned aerial vehicle)-aided emergency networks for such disaster scenarios. By using UAVs, femtocell base stations will be brought to and hovered at their assigned location. We applied this deployment tool on a realistic disaster scenario in the city center of Ghent, Belgium. The results are very promising although a large amount of drones (> 1000 type 1 or > 370 type 2 drones) is required to provide full coverage for 1 h. Halving the user coverage results in 1.8 to 2 times less drones. More effectively is to increase the drone's fly height. A 10-m higher fly height can result in a reduction up to 13%. However, above 100 m, the influence is not significant any more. Decreasing the user's service level has no significant influence on the number of required drones for the considered scenario. Furthermore, a prediction model for the number of required drones based on the intervention duration and the user coverage is proposed.

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“…Meanwhile, terrestrial communication systems cannot guarantee a reliable service for users in remote, rural areas, due to the lack of infrastructure nodes, such as base stations (BSs). High altitude platform (HAP) drones can substantially extend the coverage of terrestrial networks by establishing line-of-sight (LoS) links and adjusting their altitude [2], [3].…”

Section: Introductionmentioning

confidence: 99%

Sum-Rate Analysis for High Altitude Platform (HAP) Drones With Tethered Balloon Relay

et al. 2018

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Abstract-High altitude platform (HAP) drones can provide broadband wireless connectivity to ground users in rural areas by establishing line-of-sight (LoS) links and exploiting effective beamforming techniques. However, at high altitudes, acquiring the channel state information (CSI) for HAPs, which is a key component to perform beamforming, is challenging. In this paper, by exploiting an interference alignment (IA) technique, a novel method for achieving the maximum sum-rate in HAPbased communications without CSI is proposed. In particular, to realize IA, a multiple-antenna tethered balloon is used as a relay between multiple HAP drones and ground stations (GSs). Here, a multiple-input multiple-output X network system is considered. The capacity of the considered M ×N X network with a tethered balloon relay is derived in closed-form. Simulation results corroborate the theoretical findings and show that the proposed approach yields the maximum sum-rate in multiple HAPs-GSs communications in absence of CSI. The results also show the existence of an optimal balloon's altitude for which the sum-rate is maximized.

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Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage

Cited by 991 publications

References 9 publications

A Survey of Channel Modeling for UAV Communications

A Survey of Channel Modeling for UAV Communications

Designing UAV-aided emergency networks for large-scale disaster scenarios

Sum-Rate Analysis for High Altitude Platform (HAP) Drones With Tethered Balloon Relay

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