Performance analysis of secure intelligent reflecting surface assisted ground to unmanned aerial vehicle transmission-Reference-Cited by-同舟云学术

Performance analysis of secure intelligent reflecting surface assisted ground to unmanned aerial vehicle transmission

Published:2023-08-23 Issue:17 Volume:17 Page:2009-2018
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Yi Shen¹²^ORCID,Zhiwen Pan²³,Bin Wang⁴,Nan Liu²,Xiaohu You²³

Affiliation:

1. School of Intelligent Engineering and Intelligent Manufacturing Hunan University of Technology and Business Changsha Hunan China

2. National Mobile Communications Research Laboratory Southeast University Nanjing Jiangsu China

3. Purple Mountain Laboratories Nanjing Jiangsu China

4. Science and Technology on Communication Networks Laboratory Shijiazhuang Hebei China

Abstract

AbstractThe authors propose a secure intelligent reflecting surface (IRS) assisted transmission system in the presence of a ground eavesdropper, where the source in the ground transmits confidential information to unmanned aerial vehicle (UAV), IRS is deployed to promote the transmission rate of the source to UAV. Closed‐form expression for secure transmission non‐outage probability is derived, and secure transmission performance is analyzed. Simulation validates the correctness of the derivation. Compared with benchmarks, results show that the IRS can improve the secure transmission of ground to UAV.

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Reference25 articles.

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2. Wang L. Wang K. Pan C. Xu W. Aslam N.:Joint trajectory and passive beamforming design for intelligent reflecting surface‐aided UAV communications: A deep reinforcement learning approach.https://doi.org/10.48550/arXiv.2007.08380

3. Sum-Rate Maximization for IRS-Assisted UAV OFDMA Communication Systems

4. On the Performance of RIS-Assisted Dual-Hop UAV Communication Systems

5. Joint Beamforming and Phase Shift Design in Downlink UAV Networks with IRS-Assisted NOMA

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