Unmanned aerial vehicle base station optimal height calculation method under inaccurate channel state information

Abstract

The invention discloses an unmanned aerial vehicle base station optimal height calculation method under inaccurate channel state information, which aims at the problem of channel estimation errors inan actual scene, and comprises the following steps of: establishing an unmanned aerial vehicle base station air-ground link channel error model according to the transmission characteristics of an air-ground wireless link; with the pitch angle of the unmanned aerial vehicle base station and a ground user and a channel error coefficient as optimization variables, deducing an unmanned aerial vehiclebase station air-ground transmission signal interruption probability function expression; and with the interruption probability as an optimization target, obtaining a low-complexity unmanned aerial vehicle base station optimal height calculation method based on one-dimensional search. According to the unmanned aerial vehicle base station optimal height calculation method under inaccurate channel state information provided by the invention, the unmanned aerial vehicle base station interruption probability function analytical expression conforming to air-ground wireless transmission characteristics is given, and an action mechanism of a channel error on the unmanned aerial vehicle base station optimal height in an actual scene is disclosed.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicle communication, in particular to a method for calculating the optimum height of an unmanned aerial vehicle base station under inaccurate channel state information. Background technique [0002] At present, the traditional cellular wireless network can provide stable and reliable communication quality to a certain extent, but it cannot meet the needs of some fast-moving emergency communication. For communication scenarios such as forest patrol, traffic monitoring, cargo transportation, and temporary battlefields, traditional base station cellular communication networks cannot solve the problem of network coverage changes caused by fast-moving demands due to coverage limitations. Therefore, there is an urgent need to seek a fast and flexible communication platform to solve the mobile problem in the coverage area of ​​the wireless network. [0003] With the development of UAV platform...

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Problems solved by technology

[0004] A. Al-Hourani and others aimed at the maximum coverage of low-altitude platforms, and proposed an analysis method to optimize the height of low-altitude platforms, but the author only considered the path loss of the air-to-ground link, and did not involve the channel fading of the link , see IEEE Wirel. Commun. Lett. Literature

M.Madhdi Azari et al. considered both the path loss and the fading channel in the air-to-ground link, and derived the analytical expression of the outage probability, but did not consider the estimation error of the channel in the actual scene. See IEEE Trans. Commun .

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