Intelligent reflecting surface phase shifting and unmanned aerial vehicle path planning method

Abstract

The invention discloses an intelligent reflection surface phase shift and unmanned aerial vehicle path planning method, and relates to the field of unmanned aerial vehicle air-ground communication, intelligent reflection surface auxiliary communication and deep learning. Based on a deep reinforcement learning framework, the balance of calculation complexity and precision is realized compared with a traditional convex optimization algorithm; in combination with the intelligent reflection surface technology, the three-dimensional trajectory of the unmanned aerial vehicle and the phase shift of the intelligent reflection surface are jointly optimized, so that the wireless communication network gain is maximized while the energy consumption of the unmanned aerial vehicle is minimized, and the communication energy efficiency of the unmanned aerial vehicle and the ground terminal is improved.

Description

technical field [0001] The invention relates to the fields of UAV air-to-ground communication, intelligent reflective surface assisted communication and deep learning, in particular to a method for intelligent reflective surface phase shift and UAV path planning. Background technique [0002] Wireless communication supported by UAVs is a research hotspot in recent years. The high mobility of UAVs enables it to work flexibly in three-dimensional space and attract air-ground wireless communication by simultaneously adjusting its horizontal and vertical positions. Due to its high mobility, UAV-assisted wireless networks are especially suitable for on-demand deployment in emergency situations, where UAVs are mainly used as temporary base stations or access points in the air to transmit or receive data to ground terminals. However, in practical applications, the communication link between the UAV and the terminal is very likely to be blocked by regional obstacles, resulting in si...

AI Technical Summary

Problems solved by technology

[0004] First, with the assistance of intelligent reflective surfaces, the two communication links between the ground terminal and the UAV are affected by the movement of the UAV, and the three-dimensional trajectory design is difficult to achieve;

[0005] Secondly, the phase shift of the intelligent reflective surface needs to be calculated and determined in real time according to the current communication link status, while the traditional algorithm has a large amount of calculation and poor real-time performance, which in turn affects the quality of the communication link;

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