Scheduling method of UAV energy supply based on cooperative transmission

Abstract

The present invention proposes a UAV energy supply scheduling method based on cooperative transmission, which mainly solves the problems that the existing UAV network cannot continuously provide services for designated areas and that spare UAVs increase expenses. The scheme is: 1) Initialize the UAV network; 2) The node determines the associated UAV according to the location of the UAV and the node; 3) Initializes the scheduling window and the recalled UAV set for each time slice t; 4) Determines t’s set of recalled drones, and calculate the cooperative cluster of recalled drones; 5) According to the recalled set of t’s drones, the energy supply of the drones is carried out in the designated area, and the sequence number t of the current time slice is greater than that of the drones When the system provides services for the designated area for the total number of time slices M, the UAV system stops serving the designated area, otherwise, return to 3). The invention saves the expense of the backup UAV, guarantees the service quality of the nodes, reduces the energy consumption of the system, and can be used in the UAV network to provide continuous services for designated areas.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an intelligent UAV energy supply scheduling method, which can be used in the scenario where the UAV network provides continuous services for a designated area when there is no backup UAV. Background technique [0002] Due to the high mobility of drones and the flexibility of deployment, drone networks can provide high-speed wireless services for areas without infrastructure coverage or areas where ground base stations are overloaded. However, due to the limited energy of drones, the system will gradually appear energy-depleted drones, resulting in communication interruptions in designated areas, and the quality of service of ground nodes cannot be guaranteed. [0003] Many experts and scholars have studied the 3D energy-saving deployment scheme of UAVs to reduce the energy wasted by unreasonable UAV deployments, but this type of scheme can only prolong ...

AI Technical Summary

Problems solved by technology

However, this method not only increases the capital expenditure and UAV configuration process, but also reduces the utilization rate of UAVs in the system due to the need for spare UAVs to replace recalled UAVs to provide continuous service for designated areas

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