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Physical Layer Security in Wireless Communication Networks in Presence of Intelligent Reflecting Surfaces

Pourkarimi, Ali | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54494 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Nasiri Kenari, Masoumeh; Mirmohseni, Mahtab
  7. Abstract:
  8. The ever-increasing demand for wireless communication has raised the need for better utilization of bandwidth and energy. Intelligent Reflecting Surface (IRS) is an emerging technology that has been proposed for the sixth generation of wireless communication. In this thesis, we study the essential role these surfaces can play in improving the physical layer security.First, we consider a relatively realistic scenario for the location of the eavesdroppers. In this scenario, we will assume that the transmitters, users, and eavesdroppers all use a single antenna configuration, and the eavesdroppers are placed randomly across the studied region. Two notable parameters in physical layer security, i.e., secrecy outage probability and ergodic secrecy rate, are determined by adjusting the phase shift of the IRS. Also, we assume that the channels follow the Rayleigh fading model. Stochastic geometry and probability theory are used in our studies and analysis. The simulation results show that the IRS can significantly improve the physical layer security.In the next step, we extend the first scenario to include the cases where the transmitters use an antenna array instead of a single antenna. We use an optimized beam emittance vector in the transmitter and a suitable phase shift matrix in the IRS to improve the physical layer security. Furthermore, in this scenario, we assume that the channels of the target users follow the Rician fading model.Finally, we consider a cellular network where the location of the eavesdroppers, base stations, and intelligent surfaces are selected randomly. Also, the base station transmits a synthetic noise perpendicular to the channel between the user and the base station to improve the secrecy outage probability. It is shown that increasing the number of intelligent surface elements improves the secrecy outage probability while increasing the power of the synthetic noise beyond a certain level has a negative impact on this parameter
  9. Keywords:
  10. Wireless Communication ; Physical Layer Security ; Stochastic Geometry ; Probability Theory ; Intelligent Reflective Surfaces ; Ergodic Secrecy Rate ; Secrecy Outage Probability

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