Unmanned aerial vehicle relay system resource allocation method based on wireless energy-carrying communication network

Abstract

The invention relates to an unmanned aerial vehicle communication technology, and particularly relates to an unmanned aerial vehicle relay system resource allocation method based on a wireless energy-carrying communication network. The method comprises: grouping a terminal device according to a ground terminal communication mode selection strategy, determining the number and the positions of the relay mode ground terminals GTRs; after initial parameters are set, performing a continuous convex optimization algorithm; optimizing time slot resources allocation, flight trajectory of unmanned aerial vehicle, the transmission power of unmanned aerial vehicle information, the information transmission power of a ground terminal GTR and the energy broadcast power of the unmanned aerial vehicle in sequence, and then through multiple iterations, when the throughput increase of a ground terminal GTR in a period is less than a preset threshold, stopping an optimization algorithm to obtain an optimal resource allocation strategy of the unmanned aerial vehicle relay system. According to the method, ground terminal device communication modes can be selected according to actual conditions, and theservice quality of ground users is guaranteed while waste of unmanned aerial vehicle resources is reduced. The method can adapt to periodical change scenes of the number of ground terminals and the initial energy storage condition, and is high in feasibility.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle communication, and in particular relates to a resource allocation method of an unmanned aerial vehicle relay system based on a wireless energy-carrying communication network. Background technique [0002] With the development of wireless communication technology, more and more devices are connected to the network, and the 5G era of Internet of Everything is approaching. At this time, spectrum resources are tight and the problem of equipment energy shortage is becoming more and more serious. A wireless powered communication network (WPCN) can solve the above problems to a certain extent. Generally speaking, WPCN consists of a hybrid access point (HAP) and several ground wireless terminal devices. In the downlink, the wireless terminal collects the radio frequency energy signal broadcast by the energy node in the HAP through the energy receiving module and transmits it Convert it in...

AI Technical Summary

Problems solved by technology

In addition, H-AP or EP / IP nodes with fixed positions are not suitable for scenarios where the location and number of sensors change dynamically in wireless sensor networks. Adding multiple ground base stations will bring high network construction costs. In remote areas, it will cause a waste of communication resources, and the construction of ground base stations takes a long time to build a network, and the maintenance cost is high. It is impossible to achieve rapid network deployment in emergency scenarios (such as fires, earthquakes, large-scale outdoor activities, etc.)

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