A UAV Trajectory Optimization Method for Assisting Mobile Vehicle Wireless Communication

Abstract

The invention discloses a UAV trajectory optimization method for assisting mobile vehicle wireless communication. Mathematical expression, the mathematical expression is the optimization problem P1; S2, obtain the current state information of the vehicle in the system model, and obtain the future movement trajectory of the vehicle through the vehicle trajectory prediction model according to the current state information of the vehicle; S3, according to the future movement trajectory of the vehicle, The approximate processing of the optimization problem P1 is converted into a convex optimization problem, and an approximate convex optimization problem P2 of the optimization problem P1 is obtained; S4, the approximate convex optimization problem P2 is solved, and the UAV flight trajectory and power distribution are obtained. The invention can greatly reduce the energy loss caused by the flying of the drone while improving the communication performance between the base station of the drone and the mobile terminal on the ground.

Description

technical field [0001] The invention relates to the technical field of UAV communication, in particular to a UAV trajectory optimization method for assisting wireless communication of mobile vehicles, which is applied to a UAV-assisted traveling vehicle communication system. Background technique [0002] In recent years, drones have been a popular field. The use of drones as a carrier for cargo distribution, real-time video transmission, and agricultural plant protection has developed rapidly in the past ten years. Due to its strong mobility, small size and low cost, UAVs will be seen in more fields in the future. The UAV-assisted communication system is a wireless communication system that combines traditional fixed base stations with UAVs to provide communication services. Depending on the likely presence of hotspots with dense communication services (such as stadiums during sporting events) or areas without wireless communication infrastructure (such as areas affected by...

AI Technical Summary

Problems solved by technology

Although some existing technologies use the user mobile model to describe the mobile status of the ground terminal, it is not possible to accurately obtain the future mobile position coordinates of each terminal

With the rapid development and large-scale application of the Internet of Vehicles in the 5G era, higher requirements are placed on the delay and reliability of communication. It is far from enough to only consider the application scenarios where the ground terminal is always stationary or only understands the distribution of user movement. Meet the high-quality communication requirements during vehicle driving

[0006] 2. Due to the limited energy carried by the UAV itself, the energy consumption management of UAVs has always been a key research issue. At present, there is a lack of solutions that can ensure the communication quality and at the same time ensure the communication quality in the UAV-assisted communication process in the case of vehicle movement. Solutions to reduce flight energy consumption as much as possible

[0007] 3. Tethered UAVs still need to be wired with the ground in the process of providing communication services, which will greatly limit the mobility of UAV base stations, and at the same time cannot realize autonomous flight according to the needs of ground communication terminals

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