Three-dimensional space deployment method and equipment of heterogeneous UAV based on particle swarm algorithm

A particle swarm algorithm and three-dimensional space technology, applied in wireless communication, radio transmission system, electrical components, etc., can solve the problem of being unable to judge whether there is a network link in the UAV, meet performance requirements and communication requirements, and reduce paths Loss, the effect of improving the quality of network communication

Active Publication Date: 2022-07-22
ZHENGZHOU UNIV
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Problems solved by technology

However, it is impossible to obtain the deployment scheme of the least number of UAVs in a group of heterogeneous UAVs only by using a single particle swarm optimization algorithm, and it is impossible to judge whether there is a network link between UAVs.

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  • Three-dimensional space deployment method and equipment of heterogeneous UAV based on particle swarm algorithm
  • Three-dimensional space deployment method and equipment of heterogeneous UAV based on particle swarm algorithm
  • Three-dimensional space deployment method and equipment of heterogeneous UAV based on particle swarm algorithm

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Embodiment Construction

[0020] The technical solutions of the present invention will be further described in detail below through specific embodiments.

[0021] like figure 1 As shown in the figure, a three-dimensional deployment method of heterogeneous UAVs based on particle swarm algorithm includes the following steps:

[0022] Step 1, input the three-dimensional scope of the target area, the number M of users to be served and the two-dimensional plane position (x) of the users to be served. j ,y j ), j∈[1,M], the parameters of the heterogeneous UAV group and the parameters required by the network service, the parameters of the heterogeneous UAV group include the total number N of UAVs and the maximum number of simultaneous services of UAV i C i , service power network connection power The parameters of the network service include the threshold τ of the number of users of the network service, the signal-to-noise ratio threshold SNR required by the network service g and the connected signal-...

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Abstract

The present invention provides a three-dimensional space deployment method and device for heterogeneous UAVs based on particle swarm algorithm. The multi-target particle swarm algorithm is used to randomly initialize particles in a target area, and each particle has four-dimensional parameters, including a group of heterogeneous UAVs. The three-dimensional spatial position of each drone and the usage of the drone; the multi-objective particle swarm algorithm is used to calculate the change speed of the three-dimensional position of the drone and update the three-dimensional position of the drone; based on the combination of discrete binary particle swarm algorithm, the calculation of each The amount of change in the usage of each drone of each particle and update the usage of each drone; and on this basis, the spread and mutation operations in the genetic algorithm are added to prevent the particle swarm optimization from falling into the local minimum prematurely. Optimal solution; through the combination of multi-objective particle swarm optimization, discrete binary particle swarm optimization, and genetic algorithm, the problem of deploying heterogeneous UAVs needs to be satisfied with network services.

Description

technical field [0001] The invention relates to a UAV space deployment method, in particular, to a heterogeneous UAV three-dimensional space deployment method and equipment based on particle swarm algorithm. Background technique [0002] When there is no ground fixed infrastructure (base station) or the ground base station is damaged and cannot work normally, such as floods, earthquakes, wars, etc., the unmanned aerial vehicle is equipped with a small base station as an air communication platform (air base station), which can quickly reach a predetermined area. Provide on-demand, economical and reliable wireless communication. In the existing deployment schemes, the problem is often transformed into a flat disk coverage problem, such as k-mean deployment, spiral deployment, core deployment, etc. These solutions often do not consider height adjustment during deployment, and can only be used in specific scenarios, and cannot be promoted. [0003] When the height is considere...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/18H04B7/185
CPCH04W16/18H04B7/18504
Inventor 张博宋金朋武琦赵巍赵旭辉杨锟浩
Owner ZHENGZHOU UNIV
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