On secure underlay MIMO cognitive radio networks with energy harvesting and transmit antenna selection

Hongjiang Lei*, Ming Xu, Imran Shafique Ansari, Gaofeng Pan, Khalid A. Qaraqe, Mohamed Slim Alouini

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

123 引用 (Scopus)
Plum Print visual indicator of research metrics
  • Citations
    • Citation Indexes: 123
  • Captures
    • Readers: 20
see details

摘要

In this paper, we consider an underlay multiple-input-multiple-output (MIMO) cognitive radio network (CRN) including a pair of primary nodes, a couple of secondary nodes, and an eavesdropper, where the secondary transmitter is powered by the renewable energy harvested from the primary transmitter in order to improve both energy efficiency and spectral efficiency. Based on whether the channel state information of wiretap links are available or not, the secrecy outage performance of the optimal antenna selection (OAS) scheme and suboptimal antenna selection (SAS) scheme for underlay MIMO CRN with energy harvesting are investigated and compared with traditional space-time transmission scheme. The closed-form expressions for exact and asymptotic secrecy outage probability are derived. Monte-Carlo simulations are conducted to testify the accuracy of the analytical results. The analysis illustrates that the OAS scheme outperforms SAS scheme. Furthermore, the asymptotic result shows that no matter which scheme is considered, the OAS and SAS schemes can achieve the same secrecy diversity order.

源语言英语
文章编号7882641
页(从-至)192-203
页数12
期刊IEEE Transactions on Green Communications and Networking
1
2
DOI
出版状态已出版 - 6月 2017
已对外发布

指纹

探究 'On secure underlay MIMO cognitive radio networks with energy harvesting and transmit antenna selection' 的科研主题。它们共同构成独一无二的指纹。

引用此

Lei, H., Xu, M., Ansari, I. S., Pan, G., Qaraqe, K. A., & Alouini, M. S. (2017). On secure underlay MIMO cognitive radio networks with energy harvesting and transmit antenna selection. IEEE Transactions on Green Communications and Networking, 1(2), 192-203. 文章 7882641. https://doi.org/10.1109/TGCN.2017.2684827