IEEE Transactions on Communications | Niu H, Chu Z, Zhou F, Zhu Z, Zhang M, et al.| This paper aims to investigate the benefit of using intelligent reflecting surface (IRS) in multi-user multiple-i...
Weighted Sum Secrecy Rate Maximization using Intelligent Reflecting Surface
Abstract
Ìý
This paper aims to investigate the benefit of using intelligent reflecting surface (IRS) in multi-user multiple-input single-output (MU-MISO) systems, in the presence of eavesdroppers. We maximize the weighted sum secrecy rate by jointly designing the secure beamforming (BF), the artificial noise (AN), as well as the phase shift of the IRS. An alternating optimization (AO) method is proposed to deal with the formulated non convex problem.
In particular, the secure beamforming and AN jamming matrix are optimally designed via the successive convex approximation (SCA) approach for given phase shift, which can be derived by considering the alternating direction method of multiplier (ADMM) and element-wise block coordinate decent (EBCD) methods. Finally, simulation results are presented to show the benefit of the IRS in terms of improving the secrecy performance, when compared to other methods.
Publication Type: | Journal Article |
---|
Publication Sub Type: | Article |
---|
Authors: | Niu H, Chu Z, Zhou F, Zhu Z, Zhang M, Wong KK |
---|
Publisher: | IEEE Institute of Electrical and Electronics Engineers |
---|
Publication date: | 03/06/2021 |
---|
Pagination: | 1 |
---|
Journal: | IEEE Transactions on Communications |
---|
Status: | PublishedÌý |
---|
Print ISSN: | 0090-6778 |
---|
DOI: | |
---|
Full Text URL: | |
---|
Explore how °×С½ãÂÛ̳ research is advancing the future technologies of a connected world: