Dynamic track based spectrum resource allocation method for UAV (unmanned aerial vehicle) groups

Abstract

The invention provides a dynamic track based spectrum resource allocation method for UAV (unmanned aerial vehicle) groups. N UAV groups reconnoiter a specific mission area according to given tracks and perform intra-group communication in real time, and the purpose of maximization of network communication utility is achieved by reasonable allocation of spectrum of the UAV groups. The method comprises the following steps: a real-time spectrum allocation problem of the UAV groups based on interference cancellation is modeled into a potential energy game model, wherein game participants are the NUAV groups participating in the reconnaissance mission; an action set of each of the UAV groups is defined as a selectable spectrum resource, and other UAV groups are divided into neighboring UAV groups and non-neighboring UAV groups according to the distance between the other UAV groups and the UAV group, network utility and communication utility of the UAV groups are obtained, and a utility function of the UAV groups is further defined; and potential energy game is computed by a channel maintenance based parallel optimal response algorithm, so that the UAV groups access the optimal channelfor 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.

Images