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Secure multiple‐input single‐output communication – Part I: secrecy rates and switched power allocation
- Source :
- IET Communications. 8:1217-1226
- Publication Year :
- 2014
- Publisher :
- Institution of Engineering and Technology (IET), 2014.
-
Abstract
- The use of multiple-antenna arrays has attracted much attention for the physical layer security of wireless systems, where the so-called artificial-noise solution can be applied to enhance the communication confidentiality. In the first part of this study, the authors consider secure communication over a multiple-input single-output Rayleigh-fading channel in the presence of a multiple-antenna eavesdropper - referred to as a multiple-input single-output multiple-eavesdropper (MISOME) wiretap channel. Specifically, secure beamforming with artificial noise is treated when the transmitter has access to full channel state information (CSI) of a legitimate channel but only partial CSI of an eavesdropper channel. First, the optimal power allocation between the information-bearing signal and artificial noise (or simulated interference) is derived to maximise the achievable secrecy rate in the presence of a weak or strong eavesdropper. Then, the first-order optimal power allocation strategy is developed in a switched fashion by selecting the best of weak- and strong-eavesdropper solutions for a general eavesdropping attack, and a closed-form expression is derived for the ergodic secrecy rate achieved by secure beamforming with this switched power allocation in the MISOME wiretap channel. The numerical results show that the switched power allocation is a simple but effective approach that nearly achieves the optimal secrecy rate.
- Subjects :
- Beamforming
Computer science
business.industry
Transmitter
Physical layer
Eavesdropping
Data_CODINGANDINFORMATIONTHEORY
Computer Science Applications
Secure communication
Channel state information
Secrecy
Artificial noise
Electrical and Electronic Engineering
business
Computer Science::Cryptography and Security
Computer Science::Information Theory
Computer network
Communication channel
Subjects
Details
- ISSN :
- 17518636
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IET Communications
- Accession number :
- edsair.doi...........d13c448df3036eb5b0467aa493a3fe0f