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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
Summary
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.
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.
