Low altitude UAV propagation channel modelling

Cai, Xuesong; González-Plaza, Ana; Alonso, David Álvarez; Zhang, Lei; Briso-Rodríguez, César; Yuste, Antonio Pérez; Yin, Xuefeng

doi:10.23919/eucap.2017.7928479

Cited by 81 publications

(58 citation statements)

References 17 publications

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“…It is noted that the observations about BP in narrowband measurements in this paper are different from the preliminary work in [17]. This is because the height of the base station antennas applied in the preliminary work was around 50 cm, which was so low that there was an influence of the first Fresnel zone.…”

Section: Analysis Of the Vertical Measurementscontrasting

confidence: 42%

“…Also, the measurements have been repeated several times in order to rule out the impact of the randomness. Thus, a more thorough investigation can be conducted compared to the works presented in [17]. Figure 7 illustrates the fast fading of measurements V3 and V4, where large-scale fading has been removed by subtracting a 20-wavelength moving average power from the received signal.…”

Section: Analysis Of the Vertical Measurementsmentioning

confidence: 99%

“…In [11,15], ray tracing methods were applied to investigate the propagation channel in urban environments, and in [16] wideband measurements were conducted with a UAV being fixed at a certain position, which depicts the influence of the ground. In [17], narrowband and wideband channel measurements were introduced using LTE signals. In general, there is still limited literature on modeling at ultralow altitude for small UAVs.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Analysis Of the Vertical Measurementscontrasting

confidence: 42%

Section: Analysis Of the Vertical Measurementsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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

Self Cite

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“…These works have studied AG propagation for variations in channel gain with respect to the elevation angle using the Loo model in [41] and the impact of UAV during the course of vertical and horizontal flight routes on fast fading of Rician distribution in [45]. However, channel features were not addressed with regard to the geographical environment, such as density and shape of surrounding scatters.…”

Section: Measurement Campaignsmentioning

confidence: 99%

“…In [45], field experiments were performed in suburban Madrid, Spain, at frequency band of 5.76 GHz for narrowband measurements. The UAV flew at an altitude between 0 to 50 m for the vertical flight test in ascending and descending directions and covered a distance of 210 m for a horizontal test at altitudes of 20 m and 30 m in two different zones.…”

Section: Measurement Campaignsmentioning

confidence: 99%

A Survey of Channel Modeling for UAV Communications

Khuwaja

Chen

Zhao

et al. 2018

IEEE Commun. Surv. Tutorials

685

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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