Intelligent reflecting surface assisted secure and covert communication design method

By constructing a three-dimensional system model and solving the optimization problem, the optimal parameters of the transmitter and the smart reflector are solved using the CVX toolkit and the Dinkelbach method. This solves the problem of improving the security rate of wireless communication systems under the premise of concealment, and achieves a significant gain in system security rate.

CN117713886BActive Publication Date: 2026-09-22ANHUI AGRICULTURAL UNIVERSITY
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Patent Information

Application Number
CN202311465075.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-11-03
Publication Date
2026-09-22
Estimated Expiration
2043-11-03

AI Technical Summary

Technical Problem

There is limited research on improving the physical layer security transmission rate of wireless communication systems while maintaining their concealment requirements, and the auxiliary role of intelligent reflective surfaces (IRS) has not been fully explored.

Method used

A three-dimensional system model is constructed, the minimum total detection error probability of the eavesdropper is solved, an optimization problem is constructed to maximize the safe rate, and the optimal transmitter transmission power and the reflection coefficient of the smart reflector are solved by simplifying the optimization problem and using the CVX toolkit. The Dinkelbach method is then used for optimization.

Benefits of technology

Under the constraint of concealment, the security rate of wireless communication systems is significantly improved, the solution complexity is reduced, and it is demonstrated that the assistance of intelligent reflective surfaces (IRS) can improve the physical layer security of the system.

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Abstract

The application discloses a kind of intelligent reflecting surface assisted security and covert communication design method, belong to wireless communication technical field;The application constructs the optimization problem with the goal of maximizing system security rate.We design an algorithm based on Dinkelbach method to solve the optimization problem.In this algorithm, we first convert the initial non-convex problem into a more easily handled convex problem according to Dinkelbach and semi-positive relaxation method, and obtain the optimal transmit power (Alice) and intelligent reflecting surface (IRS) reflection matrix coefficient, then use Gaussian randomization to restore the solution that satisfies the rank-one constraint.The simulation results of the algorithm show that, compared with the case without IRS, the security performance of the system is significantly improved with the assistance of IRS.
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