A joint optimization method for UAV trajectory and resource allocation for multi-carrier communication

Abstract

The embodiment of the present invention discloses a joint optimization method for UAV trajectory and resource allocation for multi-carrier wireless communication, which includes S1, creating an optimization model based on UAV-oriented multi-node energy-carrying communication; S2, for the described Split the optimization model, and iteratively solve the split sub-models respectively; S3, fix the trajectory of the drone, optimize the resource allocation variables of the drone; S4, fix the resource allocation of the drone, and optimize the flight of the drone Trajectory; S5, jointly optimize the flight trajectory and resource allocation of the UAV to obtain the optimal value of the optimization variable. The invention realizes the simultaneous transmission of information and energy of multiple ground nodes by the UAV; solves the problems of information interaction and battery life of the Internet of Things nodes, and at the same time can effectively reduce the design complexity of the receiver; and through the UAV The flight trajectory improves the communication link, improves the utilization rate of wireless resources, and maximizes the data transmission rate.

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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