DocumentCode
265986
Title
Optimal jamming strategies in digital communications — Impact of modulation
Author
Amuru, SaiDhiraj ; Buehrer, R. Michael
Author_Institution
Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
fYear
2014
fDate
8-12 Dec. 2014
Firstpage
1619
Lastpage
1624
Abstract
Jamming attacks can significantly impact the performance of wireless communication systems, and can lead to significant overhead in terms of re-transmissions and increased power consumption. This paper considers the problem of optimal jamming over an additive white Gaussian noise channel. We derive the optimal jamming signal for various digital amplitude-phase modulated constellations. We show that it is not always optimal to match the jammer´s signal to the victim signal in order to maximize the error probability at the victim receiver. Connections between the optimum jammer obtained in this analysis and the well-known pulsed jammer, popularly analyzed in the context of spread spectrum communication systems are illustrated. Further, we evaluate the value of the knowledge of the victim´s modulation schemes by comparing the performance of the optimal jamming signals with conventional additive white Gaussian noise jamming. Numerical results are presented in order to validate the theoretical inferences presented.
Keywords
AWGN channels; amplitude modulation; error statistics; jamming; phase modulation; radio networks; radio receivers; spread spectrum communication; additive white Gaussian noise channel; additive white Gaussian noise jamming; digital amplitude-phase modulated constellations; digital communications; error probability maximization; jamming attacks; optimal jamming signal; optimum jammer; power consumption; pulsed jammer; spread spectrum communication systems; victim modulation schemes; victim receiver; wireless communication systems; Error probability; Jamming; Optimized production technology; Phase shift keying; Receivers; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location
Austin, TX
Type
conf
DOI
10.1109/GLOCOM.2014.7037040
Filename
7037040
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