| Title | A Novel Optimization Scheme for the Beamforming Method Selection in Artificial-Noise-Aid MU-MISOME Broadcast Secure Communication System |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Yao, Li, Liu, Youjiang |
| Conference Name | 2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC) |
| Date Published | aug |
| Keywords | 6G mobile communication, array signal processing, artificial noise, beamforming, broadcast system, composability, Metrics, multiuser communication, physical-layer security, privacy, pubcrawl, resilience, Resiliency, Resource management, security, signal processing security, Wireless communication |
| Abstract | This article investigates the beamforming method selection in artificial-noise-aid (AN-aid) multiuser multiple-input-single-output (MU-MISO) broadcast wiretap systems in slow fading channel environment. We adopt beamforming pre-coding matrix with artificial noise to achieve secure multiuser communication and optimize system performance, and compare the secure transmission performance of two beamforming methods. To overcome the complexity of this model, a novel optimization scheme expressed using semi-closed-form expressions and Monte Carlo method is employed to derive the relationship between transmission parameters and secure transmission performance. This scheme would help us to analyses performance of different beamforming methods. |
| DOI | 10.1109/ISCEIC51027.2020.00044 |
| Citation Key | yao_novel_2020 |
A Novel Optimization Scheme for the Beamforming Method Selection in Artificial-Noise-Aid MU-MISOME Broadcast Secure Communication System