Unmanned aerial vehicle track and resource allocation joint optimization method for multi-carrier communication

Abstract

The embodiment of the invention discloses an unmanned aerial vehicle trajectory and resource allocation joint optimization method for multi-carrier wireless communication. The method comprises the following steps: S1, creating an optimization model for multi-node energy-carrying communication based on an unmanned aerial vehicle; S2, splitting the optimization model, and respectively carrying out iterative solution on split sub-models; S3, fixing the trajectory of the unmanned aerial vehicle, and optimizing the resource allocation variable of the unmanned aerial vehicle; S4, fixing unmanned aerial vehicle resource allocation, and optimizing the flight path of the unmanned aerial vehicle; and S5, performing flight path and resource allocation joint optimization of the unmanned aerial vehicleto obtain an optimal value of the optimization variable. According to the invention, simultaneous transmission of information and energy of a plurality of ground nodes by the unmanned aerial vehicleis realized; the problems of node information interaction and endurance time of the Internet of Things are solved, and meanwhile, the design complexity of the receiver can be effectively reduced; andthe communication link is improved through the flight path of the unmanned aerial vehicle, the wireless resource utilization rate is improved, and the maximization of the data transmission rate is realized.

Description

technical field [0001] The invention relates to the field of wireless energy-carrying communication technology and unmanned aerial vehicle communication technology in wireless communication technology, and in particular to a method for joint optimization of UAV trajectory and resource allocation for multi-carrier communication. Background technique [0002] Recently, with the development of UAV technology, UAV-assisted IoT as an emerging field of communication has attracted extensive attention from academia and industry. Traditional terrestrial IoT is vulnerable to natural disasters. For the recovery of the Internet of Things in disaster-stricken areas and emergency scenarios, UAV communication can quickly establish network connections. At present, other forms of space Internet of Things mainly rely on satellite communication, which has prolonged time, weak signal, high cost and difficult to control. In contrast, cost-effective, easy-to-maneuver UAVs can serve as flexible ...

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Problems solved by technology

However, both of these methods require an additional time slot switch and power allocator at the receiving end. Therefore, it can be said that the prior art cannot effectively improve the utilization of wireless resources and maximize the data transmission rate.

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