Secure Wireless Communication via Intelligent Reflecting Surface

Cui, Miao; Zhang, Guangchi; Zhang, Rui

doi:10.1109/lwc.2019.2919685

Cited by 893 publications

(627 citation statements)

References 13 publications

Supporting

Mentioning

623

Contrasting

Order By: Relevance

“…Moreover, Fig. 3b plots the complementary cumulative distribution function (CCDF) of ζ ℓ based on the simulation, the exact CDF in (14) and the approximate CDF in (17) for σ 2 = 0.1, 1.0, 10 which represent very small, moderate and large variance values. The exact CCDF match tightly with the Gamma approximation for the simulated t range for all σ 2 , confirming the validity of the approximation.…”

Section: B Outage Probabilitymentioning

confidence: 99%

Reconfigurable Intelligent Surface assisted Two–Way Communications: Performance Analysis and Optimization

Atapattu¹,

Fan²,

Dharmawansa³

et al. 2020

Preprint

161

View full text Add to dashboard Cite

In this paper, we investigate the two-way communication between two users assisted by a re-configurable intelligent surface (RIS). The scheme that two users communicate simultaneously in the same time slot over Rayleigh fading channels is considered. The channels between the two users and RIS can either be reciprocal or non-reciprocal. For reciprocal channels, we determine the optimal phases at the RIS to maximize the signal-to-interference-plus-noise ratio (SINR). We then derive exact closed-form expressions for the outage probability and spectral efficiency for single-element RIS. By capitalizing the insights obtained from the single-element analysis, we introduce a gamma approximation to model the product of Rayleigh random variables which is useful for the evaluation of the performance metrics in multiple-element RIS. Asymptotic analysis shows that the outage decreases at $\left(\log(\rho)/\rho\right)^L$ rate where $L$ is the number of elements, whereas the spectral efficiency increases at $\log(\rho)$ rate at large average SINR $\rho$. For non-reciprocal channels, the minimum user SINR is targeted to be maximized. For single-element RIS, closed-form solutions are derived whereas for multiple-element RIS the problem turns out to be non-convex. The latter is relaxed to be a semidefinite programming problem, whose optimal solution is achievable and serves as a sub-optimal solution.

show abstract

Section: B Outage Probabilitymentioning

confidence: 99%

Reconfigurable Intelligent Surface assisted Two–Way Communications: Performance Analysis and Optimization

Atapattu¹,

Fan²,

Dharmawansa³

et al. 2020

Preprint

161

View full text Add to dashboard Cite

show abstract

“…and t (m) e k according to (9) and (10), respectively. 5 With given t by solving (P1.5). 6 Update m = m + 1.…”

Section: Joint Design Of Beamforming and Jammingmentioning

confidence: 99%

“…From the physical layer security perspective, IRS assisted wireless secrecy communication was recently investigated in [1], [5]- [8]. Via jointly designing the active transmit beamforming and the passive reflect beamforming of the IRS that is usually deployed near the legitimate receiver, the achievable secrecy rate can be significantly improved.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Reflecting Surface Assisted Secrecy Communication: Is Artificial Noise Helpful or Not?

Guan

Zhang

2020

IEEE Wireless Commun. Lett.

Self Cite

472

296

View full text Add to dashboard Cite

In this letter, we investigate an intelligent reflecting surface (IRS) assisted wireless secrecy communication system, where an IRS is deployed nearby a single-antenna receiver to assist in the secure transmission from a multi-antenna transmitter, in the presence of multiple single-antenna eavesdroppers. Aiming to maximize the achievable secrecy rate, a design problem for jointly optimizing transmit beamforming with jamming and IRS reflect beamforming is formulated, which is however difficult to solve due to its non-convexity and coupled variables. We thus propose an efficient algorithm based on alternating optimization to solve the problem sub-optimally. Simulation results show that incorporating jamming with artificial noise (AN) in transmit beamforming is generally beneficial to improve the secrecy rate, even under the new setup with IRS reflect beamforming.X. Guan is with the College

show abstract

“…In [11], the authors jointly optimized the beamforming vectors at the BS and the phase shifts at the IRS for maximization of the secrecy rate of a legitimate user. In [12], an alternating optimization-based algorithm was developed to achieve secure communication for an IRS-aided MISO system with a single user. However, in [10]- [12], artificial noise (AN) is not employed for security enhancement.…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation for Secure IRS-Assisted Multiuser MISO Systems

Sun

et al. 2019

2019 IEEE Globecom Workshops (GC Wkshps)

177

135

View full text Add to dashboard Cite

In this paper, we study resource allocation design for secure communication in intelligent reflecting surface (IRS)assisted multiuser multiple-input single-output (MISO) communication systems. To enhance physical layer security, artificial noise (AN) is transmitted from the base station (BS) to deliberately impair the channel of an eavesdropper. In particular, we jointly optimize the phase shift matrix at the IRS and the beamforming vectors and AN covariance matrix at the BS for maximization of the system sum secrecy rate. To handle the resulting nonconvex optimization problem, we develop an efficient suboptimal algorithm based on alternating optimization, successive convex approximation, semidefinite relaxation, and manifold optimization. Our simulation results reveal that the proposed scheme substantially improves the system sum secrecy rate compared to two baseline schemes.

show abstract

Secure Wireless Communication via Intelligent Reflecting Surface

Cited by 893 publications

References 13 publications

Reconfigurable Intelligent Surface assisted Two–Way Communications: Performance Analysis and Optimization

Reconfigurable Intelligent Surface assisted Two–Way Communications: Performance Analysis and Optimization

Intelligent Reflecting Surface Assisted Secrecy Communication: Is Artificial Noise Helpful or Not?

Resource Allocation for Secure IRS-Assisted Multiuser MISO Systems

Contact Info

Product

Resources

About