A bandwidth resource allocation method for UAV swarms under highly dynamic network topology

Abstract

The invention discloses a method for allocating bandwidth resources of an unmanned aerial vehicle group under a high dynamic network topology, and belongs to the technical field of wireless communication. The method of the present invention includes: based on the instantaneous QoS quality of the link and the delay requirement of the service, establishing a user-base station matching preference list; performing a fine matching process, sequentially using a many-to-one matching algorithm and a dynamic many-to-many based on a three-layer auction framework The matching algorithm performs UAV link matching for users; performs a simple matching process based on the fine matching results, and dynamically adjusts the bandwidth allocation of UAV groups. The present invention can cyclically execute the above fine matching and simple matching processes to allocate the bandwidth resource of the UAV group. The invention can realize the efficient on-demand allocation of bandwidth resources between UAV base stations, flexible conversion of user single connection / multiple connection connection modes, and can overcome the influence of unstable non-line-of-sight links in the network and user movement on the stability of the network topology . The method of the invention improves the throughput of the system and reduces the computational complexity.

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 high dynamic network topology. Background technique [0002] The network coverage and system throughput requirements of the ground emergency communication service, 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 groups 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, with plug-and-play flexible and efficient use. However, in order to maximize system throughput, traditional UAV trajectory changing solutions consume too much propulsion energy, which is detrimental to the durability of the UAV swarm. Therefore, an effective resource flow mechanism is urgent...

AI Technical Summary

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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