Direction Modulation Design for UAV Assisted by IRS with discrete phase shift

Fuente: arXiv
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Hauptverfasser: Li, Maolin, Gao, Wei, Wu, Qi, Shu, Feng, Pan, Cunhua, Wu, Di
Format: Preprint
Veröffentlicht: 2024
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_version_ 1866910636852641792
author Li, Maolin
Gao, Wei
Wu, Qi
Shu, Feng
Pan, Cunhua
Wu, Di
author_facet Li, Maolin
Gao, Wei
Wu, Qi
Shu, Feng
Pan, Cunhua
Wu, Di
contents As a physical layer security technology, directional modulation (DM) can be combined with intelligent reflect-ing surface (IRS) to improve the security of drone communications. In this paper, a directional modulation scheme assisted by the IRS is proposed to maximize the transmission rate of unmanned aerial vehicle (UAV) secure communication. Specifically, with the assistance of the IRS, the UAV transmits legitimate information and main-tains its constellation pattern at the location of legitimate users on the ground, while the constellation pattern is disrupted at the eavesdropper's location. In order to solve the joint optimization problem of digital weight coefficients, UAV position, and IRS discrete phase shift, firstly, the digital weight vector and UAV position are optimized through power minimization. Secondly, three methods are proposed to optimize IRS phase shift, namely vector trajectory (VT) method, cross entropy vector trajectory (CE-VT) algorithm, and block coordinate descent vector trajectory (BCD-VT) algorithm. Compared to traditional cross entropy (CE) methods and block coordinate descent (BCD) methods, the proposed CE-VT and BCD-VT algorithms can improve transmission rate performance. The numerical results validate the effectiveness of the optimization scheme in IRS assisted UAV communication.
format Preprint
id arxiv_https___arxiv_org_abs_2410_04709
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Direction Modulation Design for UAV Assisted by IRS with discrete phase shift
Li, Maolin
Gao, Wei
Wu, Qi
Shu, Feng
Pan, Cunhua
Wu, Di
Signal Processing
As a physical layer security technology, directional modulation (DM) can be combined with intelligent reflect-ing surface (IRS) to improve the security of drone communications. In this paper, a directional modulation scheme assisted by the IRS is proposed to maximize the transmission rate of unmanned aerial vehicle (UAV) secure communication. Specifically, with the assistance of the IRS, the UAV transmits legitimate information and main-tains its constellation pattern at the location of legitimate users on the ground, while the constellation pattern is disrupted at the eavesdropper's location. In order to solve the joint optimization problem of digital weight coefficients, UAV position, and IRS discrete phase shift, firstly, the digital weight vector and UAV position are optimized through power minimization. Secondly, three methods are proposed to optimize IRS phase shift, namely vector trajectory (VT) method, cross entropy vector trajectory (CE-VT) algorithm, and block coordinate descent vector trajectory (BCD-VT) algorithm. Compared to traditional cross entropy (CE) methods and block coordinate descent (BCD) methods, the proposed CE-VT and BCD-VT algorithms can improve transmission rate performance. The numerical results validate the effectiveness of the optimization scheme in IRS assisted UAV communication.
title Direction Modulation Design for UAV Assisted by IRS with discrete phase shift
topic Signal Processing
url https://arxiv.org/abs/2410.04709