Experimental performance analysis of two-hop aerial 802.11 networks

Yanmaz, Evşen; Hayat, Samira; Scherer, Jürgen; Bettstetter, Christian

doi:10.1109/wcnc.2014.6953010

Cited by 65 publications

(40 citation statements)

References 11 publications

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“…Moreover, in [50], received signal strength declined with the distance and followed the Friis channel model. In [51], the AG propagation channel in the single-hop UAV system followed the log-distance model, where higher throughput was attained over longer distance.…”

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

714

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: 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

714

346

View full text Add to dashboard Cite

show abstract

“…The most popular radio system implementations are based on the IEEE 802.11a/b/g/n [5][6], IEEE 802.15.4 [4] and Bluetooth standards [7]. Despite the implementation simplicity, these radio technologies were not developed aiming the aerial environment, their operational range is limited by the transmitter power and the supported bit rates can be too restrictive as in the case of IEEE 802.15.4 (inadequate for video streaming).…”

Section: A Wireless Communication Technologiesmentioning

confidence: 99%

Cellular for the skies: Exploiting mobile network infrastructure for low altitude air-to-ground communications

Afonso

Souto

Sebastião

et al. 2016

IEEE Aerosp. Electron. Syst. Mag.

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In the last few years, unmanned aerial vehicles (UAVs) have been standing out as a pervasive tool in numerous civil and commercial applications. Although different wireless technologies can be employed to establish communications between a UAV and a ground control station (GCS), most either limit the operational radius or increase substantially the complexity of the system. Taking into account insights from our own real-world experiments and studies carried out within the scope of the SAAS project from Instituto de Telecomunicações, in this article we discuss the use of mobile networks for low altitude air-to-ground (A2G) communications as a possible solution to provide extended mobility and range to operators and UAVs. Besides addressing the advantages and the associated constraints of using these networks, we propose a flexible architecture for multiple UAVs and GCSs. Although our experimental results have shown that current mobile networks can fulfil the basic requirements for many envisioned UAV applications, we discuss how the evolution towards 5G networks is expected to improve the support for reliable real-time A2G communications and even for air-to-air communications.

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“…However, these tools do not address the height and orientation imposed by an aerial network, nor their mobility models represent a real FANET [22], [23], [24]. To the best of our knowledge, there is no simulator capable to represent realistic mobility models for FANETs, once current protocols and mobility models assume directed antenna radiation characteristics such as isotropic or omnidirectional radiation.…”

Section: Introductionmentioning

confidence: 99%