Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications
Southeast University · Purple Mountain Laboratories · +1 more institution
Abstract
We investigate transmission optimization for intelligent reflecting surface (IRS) assisted multi-antenna systems from the physical-layer security perspective. The design goal is to maximize the system secrecy rate subject to the source transmit power constraint and the unit modulus constraints imposed on phase shifts at the IRS. To solve this complicated non-convex problem, we develop an efficient alternating algorithm where the solutions to the transmit covariance of the source and the phase shift matrix of the IRS are achieved in closed form and semi-closed form, respectively. The convergence of the proposed algorithm is guaranteed theoretically. Simulation results validate the performance advantage of the…
Citation impact
- FWCI
- 44.79
- Percentile
- 100%
- References
- 20
Authors
5Topics & keywords
- Computer science
- Mathematical optimization
- Maximization
- Transmission (telecommunications)
- Physical layer
- Artificial noise
- Beamforming
- Optimization problem