DocumentCode :
717862
Title :
Robust Beamforming Techniques for MISO Secrecy Communication with a Cooperative Jammer
Author :
Zheng Chu ; Johnston, Martin ; Le Goff, Stephane
Author_Institution :
Sch. of Electr. & Electron. Eng., Newcastle Univ., Newcastle upon Tyne, UK
fYear :
2015
fDate :
11-14 May 2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper investigates robust beamforming techniques for a multiple-input-single-output (MISO) secrecy transmission with a cooperative jammer by incorporating two different types of channel uncertainties. We solve the worst-case signal-to-interference-plus-noise ratio (SINR) maximization of the legitimate user with the worst-case SINR constraint of the eavesdropper and the transmit power constraint. The original problems are not convex in terms of transmit covariance matrices, and cannot be solved directly. Thus, we present two approaches to convert these problems into semidefinite programmings (SDPs) by exploiting S-Procedure and deriving the corresponding Lagrangian dual problem. Numerical results are provided to validate the performance of the proposed robust schemes.
Keywords :
array signal processing; cooperative communication; covariance matrices; jamming; mathematical programming; telecommunication security; Lagrangian dual problem; MISO secrecy communication; S-Procedure; SDP; channel uncertainty; cooperative jammer; eavesdropper; multiple-input-single-output secrecy transmission; robust beamforming technique; semidefinite programming; signal-to-interference-plus-noise ratio; transmit covariance matrix; transmit power constraint; worst-case SINR constraint; Array signal processing; Interference; Jamming; Robustness; Signal to noise ratio; Transmitters; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
Type :
conf
DOI :
10.1109/VTCSpring.2015.7146065
Filename :
7146065
Link To Document :
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