The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Artificial-Noise-Aided Secure MIMO Wireless Communications via Intelligent Reflecting Surface
Open accessAbstract
This article considers an artificial noise (AN)-aided secure MIMO wireless communication system. To enhance the system security performance, the advanced intelligent reflecting surface (IRS) is invoked, and the base station (BS), legitimate information receiver (IR) and eavesdropper (Eve) are equipped with multiple antennas. With the aim for maximizing the secrecy rate (SR), the transmit precoding (TPC) matrix at the BS, covariance matrix of AN and phase shifts at the IRS are jointly optimized subject to constrains of transmit power limit and unit modulus of IRS phase shifts. Then, the secrecy rate maximization (SRM) problem is formulated, which is a non-convex problem with multiple coupled variables. To tackle it, we propose to utilize the block coordinate descent (BCD) algorithm to alternately update the variables while keeping SR non-decreasing. Specifically, the optimal TPC matrix and AN covariance matrix are derived by Lagrangian multiplier method, and the optimal phase shifts are obtained by Majorization-Minimization (MM) algorithm. Since all variables can be calculated in closed form, the proposed algorithm is very efficient. We also extend the SRM problem to the more general multiple-IRs scenario and propose a BCD algorithm to solve it. Simulation results validate the effectiveness of system security enhancement via an IRS.
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Cites
A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems
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Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming
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Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network
Wu, Q., & Zhang, R. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.1900107 · Cited by 4,308
Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication
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Guaranteeing Secrecy using Artificial Noise
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Cited by
Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges
Nguyen, V.-L., Lin, P.-C., Cheng, B.-C., Hwang, R.-H., & Lin, Y.-D. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3108618 · Cited by 515
Imoize, A. L., Adedeji, O., Tandiya, N., & Shetty, S. (2021) · Sensors · doi:10.3390/s21051709 · Cited by 281
Beamforming Technologies for Ultra-Massive MIMO in Terahertz Communications
Ning, B., Tian, Z., Mei, W., Chen, Z., Han, C., Li, S., Yuan, J., & Zhang, R. (2023) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2023.3245669 · Cited by 270
Di Renzo, M., Zappone, A., Debbah, M., Alouini, M.-S., Yuen, C., de Rosny, J., & Tretyakov, S. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3007211 · Cited by 112
Yuan, X., Hu, S., Ni, W., Liu, R. P., & Wang, X. (2023) · IEEE Transactions on Communications · doi:10.1109/tcomm.2023.3238062 · Cited by 33
Metadata
- Authors
- Hong, S., Pan, C., Ren, H., Wang, K., & Nallanathan, A.
- Venue
- IEEE Transactions on Communications
- Published
- 2020-12
- Volume
- 68
- Issue
- 12
- Pages
- 7851-7866
- ISSN
- 0090-6778 (ISSN-L)
- 1558-0857
- OpenAlex
- W3087782700
- Cited by
- 361
- References
- 40
- FWCI
- 20.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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