Title :
Mutual Information Jammer-Relay Games
Author :
Wang, Tairan ; Giannakis, Georgios B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN
fDate :
6/1/2008 12:00:00 AM
Abstract :
We consider a two-person zero-sum mutual information game between one jammer (J) and one relay (Rfr) in both nonfading and fading scenarios. Assuming that the source (S) and the destination (D) are unaware of the game, we derive optimal pure or mixed strategies for J and Rfr depending on the link qualities and whether the players are active during the SrarrD channel training. In nonfading scenarios, when both J and Rfr have full knowledge of the source signal, linear jamming (LJ) and linear relaying (LR) are shown optimal in the sense of achieving Nash equilibrium. When the SrarrJ and SrarrRfr links are noisy, LJ strategies (pure or mixed) are still optimal under LR. In this case, instead of always transmitting with full power as when the SrarrRfr link is perfect, Rfr should adjust the transmit power according to its power constraint and the reliability of the source signal it receives. Furthermore, in fading scenarios, it is optimal for J to jam only with Gaussian noise if it cannot determine the phase difference between its signal and the source signal. When LR is considered with fading, Rfr should forward with full power when the SrarrRfr link is better than the jammed SrarrD link, and defer forwarding otherwise. Optimal parameters are derived based on exact Nash equilibrium solutions or upper and lower bounds when a closed-form solution cannot be found.
Keywords :
fading channels; game theory; jamming; Gaussian noise; Nash equilibrium; fading channel; linear jamming; linear relaying; mutual information jammer-relay game; optimal parameter; two-person zero-sum mutual information game; Jammer channel; Nash equilibrium (NE); mutual information; relay channel; two-person zero-sum games;
Journal_Title :
Information Forensics and Security, IEEE Transactions on
DOI :
10.1109/TIFS.2008.920730