首页|Modelling and analysis of coverage for unmanned aerial vehicle base stations

Modelling and analysis of coverage for unmanned aerial vehicle base stations

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  • NETL
  • NSTL
  • Inst Engineering Technology-Iet
Since the analysis of cell coverage faces complex environments in unmanned aerial vehicle base station (UAV-BS) systems, general coverage probability in a typical cell is derived to analyse a UAV-BS multi-tier network, and this coverage probability is closely related with power difference among UAV-BSs, two-dimension (2D) and three-dimension (3D) UAV-BS deployment, and general interference fading models. Especially, closed-form coverage probability expressions are also derived in the form of 2D scenario and 3D scenario, when the interference fading coefficient is assumed to follow a Gamma distribution and an exponential distribution, respectively. It shows that there exists maximum spectral efficiency density (SED) as the BS density increases, and such a BS density achieving the max-SED is independent of noise power, but is affected by various propagation parameters.

autonomous aerial vehiclesradiofrequency interferenceprobabilitycellular radioremotely operated vehiclesgamma distributionstochastic processesgeneral coverage probabilitytypical cellUAV-BS multitier networkthree-dimension UAV-BS deploymentgeneral interference fading modelsclosed-form coverage probability expressionsinterference fading coefficientBS density increasesunmanned aerial vehicle base stationcell coverage

Zhang, Hui、Sung, Dan Keun、Wang, Jiangzhou

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Nankai Univ, Tianjin Key Lab Optoelect Sensor & Sensing Networ, Tianjin, Peoples R China

Korea Adv Inst Sci & Technol, Sch Elect Engn, Daejeon, South Korea

Univ Kent, Sch Engn & Digital Arts, Canterbury, Kent, England

2020

10.1049/iet-com.2019.1094

IET communications

IET communications

ISSN：1751-8628
年,卷(期)：2020.14(17)
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