A Bayesian jamming game in an OFDM wireless network

The goal of this paper is to investigate how incomplete information on the fading channel gains impacts transmission parameters. We consider in an OFDM network with transmitters and jammers. To deal with this situation we employ a Bayesian approach by introducing different type of user and jammer corresponding to their knowledge of the network environment. To get an insight of the problem, the signal to interference and noise ratio (SINR) is considered as the main metric to optimize. First, equilibrium are found in closed form expressions. Second, we show interesting results saying that incomplete information on the jammer channel gains leads to equilibrium strategies which correspond to utilization of the same channels by the different types of the jammer. Meanwhile incomplete information about the transmitter leads to channels sharing transmission equilibrium strategies employed by different types of users.