DocumentCode
1674584
Title
Securewaveforms for SISO channels
Author
Ming Li ; Kundu, Sandipan ; Pados, Dimitris A. ; Batalama, Stella N.
Author_Institution
Dept. of Electr. Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA
fYear
2013
Firstpage
4713
Lastpage
4717
Abstract
We develop a novel waveform design approach to minimize the likelihood that a message transmitted wirelessly between trusted single-antenna nodes is intercepted by an eavesdropper. In particular, first, with knowledge of the eavesdropper´s channel state information (CSI) we find the optimal waveform and transmit energy that minimize the signal-to-interference-plus-noise ratio (SINR) at the output of the eavesdropper´s maximum-SINR linear filter, while at the same time provide the intended receiver with a required pre-specified SINR at the output of its own max-SINR filter. Next, if prior knowledge of the eavesdropper´s CSI is unavailable, we design a waveform that maximizes the amount of energy available for generating disturbance to eavesdroppers, termed artificial noise (AN), while the SINR of the intended receiver is maintained at the pre-specified level. Simulation studies demonstrate our analytical developments and illustrate the benefits of the designed waveforms on securing single-input single-output (SISO) transmissions.
Keywords
channel estimation; interference suppression; multipath channels; telecommunication security; CSI; SISO channel; SISO transmission; artificial noise; eavesdropper channel state information; maximum-SINR linear filter; optimal waveform; secure waveform; signal-to-interference-plus-noise ratio; single-input single-output transmission; trusted single-antenna nodes; waveform design approach; Communication system security; Fading; Interference; Security; Signal to noise ratio; Wireless communication; Artificial noise; SISO wiretap channel; eavesdropping; physical-layer security; power allocation; signal-to-interference-plus noise ratio; waveform design;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638554
Filename
6638554
Link To Document