教授 博士生导师 硕士生导师
性别: 男
毕业院校: 北京航空航天大学
学位: 博士
所在单位: 信息与通信工程学院
学科: 通信与信息系统. 信号与信息处理. 电路与系统
办公地点: 创新园大厦A520
联系方式: Tel: 86-0411-84707719 实验室网址: http://wican.dlut.edu.cn
电子邮箱: mljin@dlut.edu.cn
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论文类型: 期刊论文
发表时间: 2018-02-01
发表刊物: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
收录刊物: SCIE、EI
卷号: 67
期号: 2
页面范围: 1087-1098
ISSN号: 0018-9545
关键字: Artificial noise; interference alignment; passive eavesdropping; physical layer security; wireless power transfer
摘要: Interference alignment (IA) is a remarkable technique to manage interference, and artificial noise (AN) can be utilized to combat one main threat of security, passive eavesdropping. Nevertheless, in the existing schemes, AN is only eliminated at each legitimate receiver, which is a waste of energy. In this paper, we propose an AN-assisted IA scheme with wireless power transfer. In the proposed scheme, AN is generated by each transmitter along with data streams, which can disrupt the eavesdropping without introducing any additional interference. Due to the fact that the transmit power of AN should be high enough to ensure the security, energy harvesting (EH) is also performed in the scheme. A power splitter is equipped at each receiver, which can divide the received signal, including desired signal, interference and AN, into two parts: one for information decoding and the other for EH. To optimize the antieavesdropping performance, the total transmit power of AN is maximized by jointly optimizing the information transmit power and the coefficient of power splitting, with the requirements of signal-to-interference-plus-noise ratio and harvested power satisfied. Due to the nonconvex nature of the problem, a suboptimal solution is also derived to calculate the closed-form solutions with extremely low computational complexity. Extensive simulation results are presented to show the effectiveness of the proposed scheme.