Artificial Noise and RIS-Aided Physical Layer Security: Optimal RIS Partitioning and Power Control

Sultangali Arzykulov, Abdulkadir Celik, Galymzhan Nauryzbayev, Ahmed Eltawil

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The synergism of reconfigurable intelligent surfaces (RIS) and artificial noise (AN) shows significant promise in improving physical layer security in wireless networks. Accordingly, this letter proposes the virtual partitioning of RIS elements into two parts such that the phase shifts of the different partitions are configured to improve the intended signal at a legitimate user and enhance the impact of AN on an illegitimate user, respectively. To this aim, two problems are defined to jointly optimize the partitioning ratio, and signal/noise transmit power levels for two main objectives. First, we maximize secrecy capacity by satisfying users’ quality of service (QoS). Second, we optimize transmit power to establish a secure link by satisfying the QoS of the legitimate user. We provide closed-form solutions subject to the rate constraints on both legitimate and illegitimate users. Simulation results validate the closed-from solutions and show that the proposed RIS-partitioning method dramatically improves SC compared to benchmark methods.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Wireless Communications Letters
StatePublished - Mar 13 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-03-16
Acknowledgements: This research was funded by the Nazarbayev University CRP Grant No.11022021CRP1513 .

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Physics and Astronomy (miscellaneous)


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