Robust beamforming design: From cognitive radio MISO channels to secrecy MISO channels

Authors:
Lan Zhang;Ying-Chang Liang;Yiyang Pei;Rui Zhang
Affiliations:
A*STAR, Singapore;A*STAR, Singapore;A*STAR, Singapore;A*STAR, Singapore
Venue:
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Year:
2009

Citing 6
Cited 1

Convex Optimization

Convex Optimization
On the relationship between the multi-antenna secrecy communications and cognitive radio communications

IEEE Transactions on Communications
On Capacity Under Receive and Spatial Spectrum-Sharing Constraints

IEEE Transactions on Information Theory
Discrete Memoryless Interference and Broadcast Channels With Confidential Messages: Secrecy Rate Regions

IEEE Transactions on Information Theory
Cognitive radio: brain-empowered wireless communications

IEEE Journal on Selected Areas in Communications
Joint Beamforming and Power Allocation for Multiple Access Channels in Cognitive Radio Networks

IEEE Journal on Selected Areas in Communications

Secure communication over MISO cognitive radio channels

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper studies the robust beamforming design problem for a multiple-input single-output (MISO) secrecy channel with a single-antenna eavesdropper. Due to the illegal nature, the eavesdropper may try to hide itself from being caught; thus, it could be difficult for the secrecy transmitter (S-Tx) to obtain accurate channel state information (CSI) of the eavesdropping link between S-Tx and the eavesdropper. Assuming that the CSI of the eavesdropping link belongs to a known uncertain set, this paper designs the optimal transmit strategy for the secrecy user to maximize the transmit rate under the condition that the eavesdropper cannot decode the secrecy message for all possible channel realizations of the eavesdropping link. This robust design problem is non-convex and cannot be solved by existing algorithms in the literature. By exploiting the relationship between the secrecy MISO channel and the cognitive radio (CR) MISO channel, this problem is transformed into a robust CR beamforming design problem, which can be solved efficiently by the interior point method. Numerical examples are provided to illustrate the effectiveness of the proposed algorithm.