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author:

Cheng, Beixi (Cheng, Beixi.) [1] | Hu, Jinsong (Hu, Jinsong.) [2] | Chen, Youjia (Chen, Youjia.) [3] | Shu, Feng (Shu, Feng.) [4] | Chen, Zhizhang David (Chen, Zhizhang David.) [5]

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EI Scopus

Abstract:

This work confirms the performance gain achieved by deploying a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) in covert communication. To maximize the system covert rate, we jointly optimize the power allocation coefficients at the transmitter and the transmission and reflection coefficients at the STAR-RIS, subject to the delay-constrained and power-constrained. Furthermore, we propose a two-stage alternating optimization algorithm based on the semidefinite relaxation (SDR) method to derive the optimal solutions to the above non-convex optimization problem. The effectiveness and superiority of the proposed algorithm and STAR-RIS-assisted covert scheme are demonstrated by the numerical results. © 2023 IEEE.

Keyword:

Constrained optimization Convex optimization Stars

Community:

  • [ 1 ] [Cheng, Beixi]Fuzhou University, College of Physics and Information Engineering, Fujian, Fuzhou; 350108, China
  • [ 2 ] [Hu, Jinsong]Fuzhou University, College of Physics and Information Engineering, Fujian, Fuzhou; 350108, China
  • [ 3 ] [Hu, Jinsong]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou; 350108, China
  • [ 4 ] [Chen, Youjia]Fuzhou University, College of Physics and Information Engineering, Fujian, Fuzhou; 350108, China
  • [ 5 ] [Chen, Youjia]Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou; 350108, China
  • [ 6 ] [Shu, Feng]Nanjing University of Science and Technology, School of Electronic and Optical Engineering, Nanjing; 210094, China
  • [ 7 ] [Shu, Feng]Hainan University, School of Information and Communication Engineering, Haikou; 570228, China
  • [ 8 ] [Chen, Zhizhang David]Fuzhou University, College of Physics and Information Engineering, Fujian, Fuzhou; 350108, China
  • [ 9 ] [Chen, Zhizhang David]Dalhousie University, Department of Electrical and Computer Engineering, Halifax; NS; B3H 4R2, Canada

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Year: 2023

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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