IRS-assisted unmanned aerial vehicle communication joint optimization method based on DDPG algorithm

Abstract

The invention relates to an IRS-assisted unmanned aerial vehicle communication joint optimization method based on a DDPG algorithm. By deploying coordinates of an intelligent reflecting surface and a plurality of ground users, a moving track is designed according to the principle that two-dimensional coordinates of the initial position and the final position of the unmanned aerial vehicle form a line at two points under the condition that the unmanned aerial vehicle carries a plurality of antennas, and beam forming and a track with the maximum rate are obtained through an intelligent decision-making method which can be autonomously learned and is high in generalization ability. The invention has the advantages that the transmission rate of an air-ground communication system established by an unmanned aerial vehicle air base station can be remarkably improved, a single-link channel from an unmanned aerial vehicle to a single user is approximated to a multi-link channel through an intelligent reflecting surface (IRS), the purpose of enhancing communication signals and improving the user service performance is achieved, and the method adopts a deep deterministic policy gradient (Deep Deterministic Policy Gradient) algorithm for joint optimization, and a joint optimization solution can be obtained at the same time by carrying out joint optimization on the DDPG algorithm.

Description

technical field [0001] The invention relates to the communication field, in particular to an IRS-assisted unmanned aerial vehicle communication joint optimization method based on a DDPG algorithm. Background technique [0002] In the face of 6G medium and wide coverage and high reliability communication requirements, UAV-assisted communication has unparalleled advantages in improving the coverage of communication networks and emergency communication, but also faces the challenge of improving energy efficiency to achieve reliable communication. With inherent advantages such as flexible deployment and line-of-sight wireless transmission, high-maneuverability UAVs have been widely deployed in various wireless communication scenarios as an air communication platform, and the communication quality is generally improved by jointly optimizing UAV trajectory and communication resource allocation; in addition , as the capacity of wireless networks increases exponentially, in order to...

AI Technical Summary

Problems solved by technology

The DRL method has been used in some IRS-assisted communication and UAV communication networks. However, for IRS-assisted UAV communication, since the UAV is a device with limited energy, how to effectively jointly optimize the beamforming and UAV trajectory makes Speed ​​maximization becomes an important issue

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