Unmanned aerial vehicle group bandwidth resource allocation method under high dynamic network topology

Abstract

The invention discloses an unmanned aerial vehicle group bandwidth resource allocation method under high dynamic network topology, and belongs to the technical field of wireless communication. The method comprises the following steps: establishing a user base station matching preference list based on the instantaneous QoS quality of a link and the time delay requirement of a service; executing a fine matching process, and sequentially utilizing a many-to-one matching algorithm and a dynamic many-to-many matching algorithm based on a three-layer auction framework to perform unmanned aerial vehicle link matching for the user; and executing a simple matching process based on a fine matching result, and dynamically adjusting bandwidth allocation of the unmanned aerial vehicle group. According to the invention, the fine matching and simple matching processes can be executed circularly, and bandwidth resource allocation of the unmanned aerial vehicle group is carried out. According to the invention, efficient on-demand allocation of bandwidth resources between unmanned aerial vehicle base stations and flexible conversion of a user single-connection / multi-connection mode can be realized, and the influence of an unstable non-line-of-sight link and user movement in a network on the stability of a network topology structure can be overcome. According to the method, the system throughput is improved, and the calculation complexity is reduced.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a method for allocating bandwidth resources of an unmanned aerial vehicle group under a highly dynamic network topology. Background technique [0002] The network coverage and system throughput requirements of the ground emergency communication business, and the limitations of a single UAV in terms of onboard hardware resources and coverage area cannot meet the service requirements. Drone swarms can work as swarms to provide users with line-of-sight (line-of-sight) data links, which can improve quality of service (QoS) and network throughput. In addition, drones are agile and recyclable, and have plug-and-play flexible and efficient use characteristics. However, in order to maximize the system throughput, conventional UAV trajectory changing solutions consume too much propulsion energy, which is detrimental to the durability of the UAV swarm. Therefore, an effective resour...

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Problems solved by technology

This method can achieve the global optimal resource allocation result, and the computational complexity is up to 2 n·m , where n is the number of services and m is the number of base stations, which cannot overcome the influence of unstable air-ground link status and user movement on network topology stability

[0005] At present, the technical scheme of UAV swarm bandwidth resource allocation mainly has the following disadvantages: (1) The computational complexity is as high as exponential, and it cannot overcome the influence of unstable air-ground link status and user movement on the network topology stability; (2) There is a lack of The dynamic on-demand flow of bandwidth resources leads to low bandwidth resource utilization; (3) User connection quotas are fixed, and flexible access methods have not been formulated according to different channel states, making it difficult to guarantee network robustness

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