Channel measurements over 802.11a-based UAV-to-ground links

Yanmaz, Evşen; Kuschnig, Robert; Bettstetter, Christian

doi:10.1109/glocomw.2011.6162389

Cited by 140 publications

(81 citation statements)

References 6 publications

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“…In [58], the measurement campaign was performed for both an open area and a campus environment using a quadcopter UAV and an access point (AP) connected with a 802.11a WLAN interface at a frequency of 5.240 GHz, where the UAV flight altitude varied between 20 and 120 m. Two vertically polarized omni-directional antennas were mounted on both UAV and AP. This study analyzed the impact of flight dynamics and antenna orientation on the AG propagation channel and found that the optimal antenna orientation can alleviate the impact of UAV hovering and mobility on received signal strength and throughput.…”

Section: Measurement Campaignsmentioning

confidence: 99%

See 1 more Smart Citation

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

684

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: Measurement Campaignsmentioning

confidence: 99%

“…For an open field and a campus environment in [58], path loss was evaluated with the free space model. In [60] and [61], PLE was estimated using linear regression.…”

Section: Empirical Channel Models From Measurement Campaignsmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

684

346

View full text Add to dashboard Cite

show abstract

“…In [12], the author conducted measurements at different distances and altitudes with a small UAV using 802.11 networks, where an interesting phenomenon of the impact of height on the propagation channel was observed. In [13], a height-dependent model based on ray tracing methods has been proposed.…”

Section: Introductionmentioning

confidence: 99%

Low Altitude UAV Air-to-Ground Channel Measurement and Modeling in Semiurban Environments

Qiu

Chu

Calvo-Ramírez

et al. 2017

Wireless Communications and Mobile Computing

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Small-and medium-sized unmanned aerial vehicles (UAVs) can fly for a short distance (<2 km) from a control station in a nonsegregated air space (altitudes < 100 m). It is of great interest to model the propagation channel under such condition, where there is an important influence from the environment. This paper presents multiple measurements carried out in low altitudes with a medium-sized UAV flying over a semiurban environment. Path loss exponent is given based on the measurements done at different altitudes and a height-dependent Rician factor model is proposed. The results clearly reveal the existence of two propagation zones with very distinct channel characteristics. The breakpoint indicates the height where the condition of the channel changes rapidly. At low altitudes, the obstacles generate a large amount of multipath and the propagation is greatly affected, while at higher altitudes the influence mitigates. Our results are useful for the modeling of low altitude air-to-ground (AG) propagation channels and the performance analysis of UAV-enabling AG communication systems, such as the channel capacity and the throughput.

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“…Another factor that affects the FANET topology is the link outages. Because of the UAV schedules and variations of FANET node distances, link quality changes very quickly, and it also causes link outages and topology changes [18].…”

Section: Topology Changementioning

confidence: 99%

On the Routing in Flying Ad hoc Networks

Tareque¹,

Hossain²,

Atiquzzaman³

2015

Annals of Computer Science and Information Systems

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Abstract-The usage of Unmanned Aerial Vehicles (UAVs) is increasing day by day. In recent years, UAVs are being used in increasing number of civil applications, such as policing, firefighting, etc in addition to military applications. Instead of using one large UAV, multiple UAVs are nowadays used for higher coverage area and accuracy. Therefore, networking models are required to allow two or more UAV nodes to communicate directly or via relay node(s). Flying Ad-Hoc Networks (FANETs) are formed which is basically an ad hoc network for UAVs. This is relatively a new technology in network family where requirements vary largely from traditional networking model, such as Mobile Ad-hoc Networks and Vehicular Ad-hoc Networks. In this paper, Flying Ad-Hoc Networks are surveyed along with its challenges compared to traditional ad hoc networks. The existing routing protocols for FANETs are then classified into six major categories which are critically analyzed and compared based on various performance criteria. Our comparative analysis will help network engineers in choosing appropriate routing protocols based on the specific scenario where the FANET will be deployed.

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Channel measurements over 802.11a-based UAV-to-ground links

Cited by 140 publications

References 6 publications

A Survey of Channel Modeling for UAV Communications

A Survey of Channel Modeling for UAV Communications

Low Altitude UAV Air-to-Ground Channel Measurement and Modeling in Semiurban Environments

On the Routing in Flying Ad hoc Networks

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