Title :
Mutual Information Jammer-Relay Games
Author :
Wang, Tairan ; Giannakis, Georgios B.
Author_Institution :
Dept. of ECE, Minnesota Univ., Minneapolis, MN
Abstract :
We consider a two-person zero-sum mutual information game between one jammer (J) and one relay (R), in a non-fading scenario. Supposing that the source (S) and the destination (D) are unaware of the game, we derive optimal pure or mixed strategies for J and R depending on the link qualities and whether the players are active during the S rarr D channel training. When both J and R have full knowledge of the source signal, the optimal strategies amount to linear jamming (LJ) and linear relaying (LR), respectively. When the S rarr J and S rarr R 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 S rarr R link is perfect, R should adjust transmit-power according to its power constraint and the reliability of the source signal it receives.
Keywords :
game theory; signal processing; telecommunication channels; jammer-relay games; linear jamming; linear relaying; power constraint; source signal; AWGN; Additive white noise; Collaborative work; Fading; Gaussian noise; Jamming; MIMO; Mutual information; Nash equilibrium; Relays; Nash equilibrium; Two-person zero-sum games; jammer channel; mutual information; relay channel;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2007.366773