A Lightweight Anti-Jamming Decision-Making Algorithm for Wireless Communication

Due to the openness of wireless channels, wireless communication systems have to deal with an increasing number of man-made interference or jamming, which significantly affects the reliability of wireless communication. To adapt to the time-varying characteristics of a jamming signal and the time-stressed anti-jamming decision-making, the paper proposes a lightweight anti-jamming decision-making algorithm based on preference. First, the decision-making space is compressed significantly by channel aggregation. Then the parameters are selected in the order of channel, transmission, modulation and code, which the decision-making criterion is the minimum transmission power criterion, and the different parameter’s effect on communication performance is considered as preferred information in the decision making. Theory analysis shows that the computational effort of the proposed algorithm is proportional to the number of channels and the number of combinations of modulation and code. This is much lower than computational effort of the genetic algorithm (GA) and is suitable for the reliable communication in a time-varying jamming environment. Simulation results show that the proposed algorithm can select the optimal communication parameters and evade jamming even when the minimum transmission power is kept in different jamming environment.