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Physical Layer Security using Multifunctional Active IRS and Three-dimensional Beamforming

Aghaei Karkaj, Hamed | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58901 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Behroozi, Hamid; Forouzesh, Moslem
  7. Abstract:
  8. Secure communication is a key consideration for in fifth-generation (5G), sixthgeneration (6G) and the Internet of Things (IoT), as the low-cost nature of these devices necessitates the use of physical layer security (PLS). In this context, PLS has attracted attention as a promising solution to protect wireless communications without the need for complex encryption. Recent studies focusing on security in wireless systems have explored the impact of three-dimensional (3D) beamforming and intelligent reflecting surface (IRS). On the other hand, IRS has been widely studied in recent years. These surfaces can control the phase and amplitude of reflected signals, allowing the formation of secondary beams. This not only improves coverage and data rates but also helps enhance the security of wireless systems. This study explores PLS in an IoT multi-input multi-output (MIMO) system employing a multifunctional active intelligent reflecting surface (MAIRS) and 3D beamforming. We propose three system models based on eavesdropping scenarios: a single eavesdropper (SE), non-colluding eavesdroppers (NCE), and colluding eavesdroppers (CE). Moreover, we formulate an optimization problem characterized by non-convexity and mixed-integer nonlinear constraints (nonconvex MINLP). A deep learning-based (DL) resource allocation farmework is proposed to efficiently solve this problem. Finally, numerical results demonstrate the performance of the proposed system model and resource allocation algorithm. As a specific case, the MAIRS and active intelligent reflecting surface (AIRS) are compared to highlight the advantages of our proposed system model. The average performance gap, in percentage, between the MAIRS and AIRS, in the SE, NCE, and CE scenarios are 22.2%, 38.2% and 48.5%, respectively
  9. Keywords:
  10. Physical Layer Security ; Three-Dimensional Beamforming ; Internet of Things ; Deep Learning ; Multifunctional Active Intelligent Reflecting Surface

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