Name
Title | ||
|---|---|---|
Intelligent Reflecting Surface-Assisted Secrecy Wireless Communication With Imperfect Csi |
Abstract | ||
|---|---|---|
The intelligent reflecting surface (IRS) consist of multiple passive elements which make it can passively reflect signals by setting phase angles. The design of IRS has been widely discussed due to its low power consumption and low-cost in recent years. In this article, IRS is used to improve the performance in a secrecy communication system which compose of multiple eavesdroppers equipped with multiple receive antennas and a legitimate user equipped with single antenna. It is assumed that only the imperfect channel state information of the eavesdroppers is available at the base station. To save power consumption, we aim to design the beamforming vector and IRS phase shift matrix by minimizing the transmission power while meeting the requirement of secrecy communication in the worst case of channel. Since the optimization problems have some non-convex constraints, we propose an alternative optimization algorithm to design the beamforming vector and IRS phase shift matrix by employing the semi-relaxation, S-procedure, and difference-of-convex algorithm. Finally, we verify the convergence of the proposed algorithm and reveal the effects of the channel uncertainty, the number of antennas at eavesdropper, and the number of elements at IRS on the transmission power. (C) 2020 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.phycom.2020.101235 | PHYSICAL COMMUNICATION |
Keywords | DocType | Volume |
Secrecy wireless communication, Imperfect channel state information, Intelligent reflecting surface, IRS phase shift matrix, Alternating optimization | Journal | 44 |
ISSN | Citations | PageRank |
1874-4907 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongqian Wang | 1 | 0 | 0.34 |
| Jun Zhang | 2 | 95 | 11.09 |
| Qi Zhang | 3 | 0 | 0.34 |
| Hairong Wang | 4 | 0 | 0.34 |