DocumentCode :
2809409
Title :
Secrecy rate maximization of a miso channelwith multiple multi-antenna eavesdroppers via semidefinite programming
Author :
Li, Qiang ; Ma, Wing-Kin
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
3042
Lastpage :
3045
Abstract :
The advances of multi-antenna techniques has recently led to renewed interest in physical-layer secrecy, a meaningful topic that enables us to prevent eavesdroppers from retrieving information intended for a legitimate user through physical layer designs. This paper address a secrecy-rate maximization problem for the scenario of a multi-input single-output channel listened by multiple multi-antenna eavesdroppers; e.g., in downlink. This problem is nonconvex and has no analytical solution. Through a careful analysis and reformulation, we show that the secrecy-rate maximization problem has a convex equivalent in form of a semidefinite program (SDP). We also prove that the respective optimal transmit covariance generally can yield a rank-one structure, implying that transmit beamforming is secrecy-rate optimal in the considered scenario. Simulation results are also provided to illustrate that the optimal transmit design solved by our SDP approach can yield significantly improved secrecy rates than an existing closed-form design.
Keywords :
MIMO communication; antenna arrays; array signal processing; information retrieval; optimisation; MISO channel; information retrieval; multi-input single-output channel; multiple multi-antenna eavesdroppers; optimal transmit covariance; physical layer secrecy; secrecy rate maximization; semidefinite programming; transmit beamforming; Array signal processing; Cryptography; Design engineering; Downlink; Information retrieval; MIMO; Physical layer; Reliability theory; Transmitters; Transmitting antennas; convex optimization; secrecy capacity; semidefinite program (SDP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5496122
Filename :
5496122
Link To Document :
بازگشت