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Intelligent Reflecting Surface Assisted Secure Transmission in UAV-MIMO Communication Systems.

Tianhao Cheng¹, Buhong Wang¹, Zhen Wang^1,2

¹School of Information and Navigation, Air Force Engineering University, Xi'an 710077, China.

Entropy (Basel, Switzerland)

|November 11, 2022

Summary

This summary is machine-generated.

This study enhances secure communication for unmanned aerial vehicles (UAVs) using intelligent reflecting surfaces (IRS). The proposed method optimizes system parameters to significantly boost the secrecy rate (SR) for secure data transmission.

Keywords:

alternating optimization (AO)intelligent reflecting surface (IRS)secure communication unmanned aerial vehicle (UAV)

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Area of Science:

Wireless Communication
Information Security
Signal Processing

Background:

Unmanned Aerial Vehicle (UAV) communication systems face security challenges from malicious eavesdroppers.
Intelligent Reflecting Surfaces (IRS) offer a promising solution to enhance signal propagation and security.
Multiple-Input Multiple-Output (MIMO) systems in UAV communications require advanced techniques for secure data transmission.

Purpose of the Study:

To maximize the secrecy rate (SR) in an IRS-assisted UAV communication system.
To jointly optimize transmit precoding (TPC) matrix, artificial noise (AN) matrix, IRS phase shift matrix, and UAV position.
To address the non-convex optimization problem inherent in secure transmission parameter tuning.

Main Methods:

An alternating optimization (AO) algorithm is developed to solve the non-convex problem.
Lagrange dual method is used to derive TPC and AN covariance matrices.
Alternating Direction Method of Multipliers (ADMM), Majorization-Minimization (MM), and Riemannian Manifold Gradient (RCG) algorithms are employed for IRS phase shift optimization.
A Secrecy Rate Gradient (SRG) algorithm, based on proportional integral (PI) control theory, is proposed for UAV positioning.

Main Results:

The proposed AO algorithm demonstrates good convergence performance.
The joint optimization strategy significantly increases the SR.
Simulation results show a 40.5% increase in SR compared to systems without IRS assistance.

Conclusions:

The IRS-assisted secure transmission framework effectively enhances communication security in UAV systems.
The developed AO algorithm provides an efficient solution for optimizing multiple system parameters.
This research offers a practical approach to improving the security and performance of UAV communication networks.