A method for spectrum resource allocation of UAV swarm based on dynamic track

Abstract

The present invention provides a method for allocating spectrum resources of unmanned aerial vehicles based on dynamic tracks, which considers that N unmanned aerial vehicles conduct reconnaissance on a specific mission area according to a given track, and communicate within the group in real time. The reasonable allocation of the human-machine swarm spectrum achieves the goal of maximizing the utility of network communication; and includes the following steps: modeling the real-time spectrum allocation problem of the UAV swarm based on interference elimination as a potential energy game model, and the game participants are N participating in the reconnaissance mission UAV groups; define each UAV group action set as the spectrum resources it can choose, and divide other groups into neighbor UAV groups and non-neighbor UAV groups according to the distance between the remaining UAV groups and the UAV group, Obtain the network utility and the communication utility of the UAV group, and then define the utility function of the UAV group; use the parallel optimal response algorithm based on channel maintenance to solve the potential energy game, so that each group can access the best channel for intra-group communication.

Description

technical field [0001] The invention belongs to the field of wireless spectrum resource allocation, and in particular relates to a method for allocating spectrum resources of an unmanned aerial vehicle group based on a dynamic track. Background technique [0002] Due to its dynamic deployment, convenient configuration, and high degree of autonomy, drones will play an extremely important role in future warfare, emergency communications, and the Internet of Things. At present, reconnaissance and search are the primary tasks of unmanned aerial systems, including the US military's "Global Hawk", "Predator", the British "Phoenix", Israel's "Searcher" and other unmanned reconnaissance aircraft. Unmanned aerial vehicles have the ability to conduct continuous reconnaissance day and night, without having to consider issues such as pilot fatigue and casualties, and will not endanger the pilots during combat, and are more suitable for performing high-risk tasks; secondly, the cost of u...

AI Technical Summary

Problems solved by technology

However, the deployment of large-scale UAV groups used for swarm operations will lead to high competition and excessive congestion of unlimited resources. The same-frequency interference between the groups will lead to a decline in the performance of the communication system and affect the overall performance

[0004] Different from the traditional ground communication network, the UAV swarm network has the following problems: the flight dynamics of the UAV and the multi-stage task execution lead to highly dynamic changes in the network topology, making resource allocation extremely difficult; In the man-machine communication system, the cluster can avoid interference by choosing different channels to reduce the collision with other clusters. However, due to the channel jump, it will not only bring unnecessary energy loss, but also lead to a decrease in throughput.

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