Cellular UAV-to-UAV Communications

Azari, M. Mahdi; Geraci, Giovanni; García‐Rodríguez, Adrián; Pollin, Sofie

doi:10.48550/arxiv.1904.05104

Cited by 1 publication

(3 citation statements)

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“…However, the works in [23]- [27] used the path loss exponents and channel fading parameters, which are constant, not changed by the horizontal distance and the vertical distance of the communication link. The work in [28] used the different path loss exponents according to the UAV height, while the channel fading parameters are constant. Therefore, in this paper, we analyze the effect of an interfering node on the UAV communications by considering both the LoS and NLoS links and channel fading.…”

Section: (D)mentioning

confidence: 99%

“…Recently, the interference has been considered in some works such as [20]- [35] for the optimal positioning and trajectory of the UAV. The optimal deployment of the UAV has been presented to maximize the communication coverage according to system parameters in [20]- [28]. The user scheduling and the UAV trajectory have been jointly optimized to maximize the minimum average rate in [29] and the minimum secrecy rate in [30].…”

Section: Introductionmentioning

confidence: 99%

“…Specifically, only the path loss is used for channels without fading in [20], [21], [29]- [31], [33], or the fact that the LoS probability can be different according to the locations of the UAV was not considered in [22], [32]. In addition, the works in [23]- [28] considered the different channel fadings depending on the LoS…”

Section: Introductionmentioning

confidence: 99%

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Impact of an Interfering Node on Unmanned Aerial Vehicle Communications

Kim

Lee

2019

IEEE Trans. Veh. Technol.

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Unlike terrestrial communications, unmanned aerial vehicle (UAV) communications have some advantages such as the line-of-sight (LoS) environment and flexible mobility. However, the interference will be still inevitable. In this paper, we analyze the effect of an interfering node on the UAV communications by considering the LoS probability and different channel fading for LoS and non-line-of-sight (NLoS) links, which are affected by horizontal and vertical distances of the communication link. We then derive a closed-form outage probability in the presence of an interfering node for all the possible scenarios and environments of main and interference links. After discussing the impacts of transmitting and interfering node parameters on the outage probability, we show the existence of the optimal height of the UAV that minimizes the outage probability. We also show the NLoS environment can be better than the LoS environment if the average received power of the interference is more dominant than that of the transmitting signal on UAV communications. Finally, we analyze the network outage probability for the case of multiple interfering nodes using stochastic geometry and the outage probability of the single interfering node case, and show the effect of the interfering node density on the optimal height of the UAV. Index Terms-Unmanned aerial vehicle, interfering node, airto-air channel, line-of-sight probability, outage probability P m , β I (ℓ I ) = ℓ −αI(ℓI) I P I .(2) 1 Note that the result of this paper can be readily extended for the multiple interfering nodes case as presented in Section IV. However, the analysis results will be complicated and give fewer insights. In addition, the communication performance is generally determined by one critical interfering node, especially in low outage probability region [36]. Therefore, we focus on the one interfering node case in this work, but the performance for the multiple interfering nodes case is also presented in simulation results of Section V.

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Section: (D)mentioning

confidence: 99%