TY - GEN
T1 - Secure Transmission for Intelligent Reflecting Surface Assisted Communication with Deep Learning
AU - Zou, Xiangyu
AU - Chen, Ming
AU - Huang, Chongwen
AU - Wang, Kezhi
AU - Shikh-Bahaei, Mohammad
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported in part by the National Natural Science Foundation of China (NSFC) under grant 61871128 and 62001051 and the Fundamental Research on Foreword Leading Technology of Jiangsu Province under grant BK20192002.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/12
Y1 - 2020/12
N2 - This paper investigates the secure transmission for intelligent reflecting surface (IRS) assisted wireless communication systems. Our aim is to maximize the secure energy efficiency of the system via jointly optimizing the IRS phase reflector as well as the number of IRS elements. To solve this non-convex maximization problem, a deep learning (DL) based algorithm is proposed. The proposed deep neural network has fully connected layers and can predict the optimal IRS reflection vector and the optimal number of IRS reflection elements with low complexity. Simulation results show that the proposed DL method achieves higher secure energy efficiency than the conventional methods.
AB - This paper investigates the secure transmission for intelligent reflecting surface (IRS) assisted wireless communication systems. Our aim is to maximize the secure energy efficiency of the system via jointly optimizing the IRS phase reflector as well as the number of IRS elements. To solve this non-convex maximization problem, a deep learning (DL) based algorithm is proposed. The proposed deep neural network has fully connected layers and can predict the optimal IRS reflection vector and the optimal number of IRS reflection elements with low complexity. Simulation results show that the proposed DL method achieves higher secure energy efficiency than the conventional methods.
KW - deep learning
KW - Intelligent reflecting surface
KW - physical layer security
KW - secure energy efficiency
UR - http://www.scopus.com/inward/record.url?scp=85102955661&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps50303.2020.9367587
DO - 10.1109/GCWkshps50303.2020.9367587
M3 - Conference contribution
AN - SCOPUS:85102955661
T3 - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
BT - 2020 IEEE Globecom Workshops, GC Wkshps 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Globecom Workshops, GC Wkshps 2020
Y2 - 7 December 2020 through 11 December 2020
ER -
