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Errors in Global Positioning System01:26

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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Security Performance Analysis of Downlink Double Intelligent Reflecting Surface Non-Orthogonal Multiple Access

Nguyen Thai Anh1, Nguyen Hoang Viet1, Dinh-Thuan Do2

  • 1Faculty of Electronics Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam.

Sensors (Basel, Switzerland)
|February 26, 2025
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Summary
This summary is machine-generated.

This study shows that double intelligent reflecting surface non-orthogonal multiple access (DIRS-NOMA) wireless systems significantly improve security compared to conventional NOMA. DIRS-NOMA enhances secrecy outage probability and average security rate for edge users.

Keywords:
average secrecy rateintelligent reflecting surfacenon-orthogonal multiple accessphysical layer securitysecrecy outage probability

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Area of Science:

  • Wireless communication systems
  • Information security
  • Signal processing

Background:

  • Non-orthogonal multiple access (NOMA) systems face security challenges, especially with eavesdropping devices.
  • Intelligent Reflecting Surfaces (IRS) offer potential for enhancing wireless communication security.
  • The integration of IRS in NOMA systems, specifically Double IRS-NOMA (DIRS-NOMA), requires detailed security performance analysis.

Purpose of the Study:

  • To evaluate the security performance of a Double Intelligent Reflecting Surface Non-Orthogonal Multiple Access (DIRS-NOMA) wireless system.
  • To derive closed-form expressions for secrecy outage probability (SOP) and average security rate (ASR) in a DIRS-NOMA system with eavesdroppers.
  • To optimize the system's average security rate through power allocation and IRS beamforming.

Main Methods:

  • Development of a DIRS-NOMA system model without a direct base station-user link.
  • Computation of closed-form expressions for SOP and ASR for each user.
  • Analysis of security performance based on NOMA power allocation and IRS elements.
  • Application of alternating optimization and Lagrange multipliers for ASR maximization.
  • Validation of analytical results using Monte Carlo simulations.

Main Results:

  • DIRS-NOMA systems demonstrate superior security performance compared to conventional NOMA systems.
  • Closed-form expressions for SOP and ASR were derived and validated.
  • Analysis revealed the impact of NOMA power allocation and IRS elements on system security.
  • An optimization algorithm effectively improved the average security rate.

Conclusions:

  • DIRS-NOMA is a promising technology for enhancing the security of wireless communication systems.
  • The proposed optimization approach effectively balances power allocation and IRS beamforming for improved security.
  • The findings provide valuable insights for designing secure and efficient future wireless networks.