Research Of Intelligent Multi-domain Anti-jamming Decision Method For Wireless Communication

Wireless systems are vulnerable to various kinds of jamming attacks due to the development of communication equipment and complexity of electromagnetic environment.Intelligent anti-jamming decision for multi-domain,which is more flexible than traditional single-domain technique,has attracted much more attention.In recent years,many researches on intelligent multi-domain anti-jamming decision have appeared.Heuristic optimization algorithms,game theory and other mathematical tools are increasingly used in the research of intelligent multi-domain anti-jamming decision to achieve more realistic models and obtain better performance.In this paper,the researches of anti-jamming decision method in different scenarios are done to solve the complexity of the system model and the performance of decision algorithms.In a single communication decision model in the case where the system is not time-slotted,poor decision-making speed and robustness of decision-making algorithm lead to a non-optimal communication scheme in huge decision space within limited time.Aiming at solving above problems,the model of multi-domain anti-jamming decision engine is established and an intelligent anti-jamming decision method based on the mutation search artificial bee colony algorithm(MSABC)is proposed.The mutation search probability and compression of decision space are introduced in the proposed algorithm to improve the performance of anti-jamming decision-making.The performance evaluation shows that the proposed algorithm achieves a better decision result compared with others.In the case where the system is a time-slotted communication system,the jamming environment changes in each short-lived slot.Aiming at solving the decision-making problem in above model,a joint frequency-hopping and rate-adaption anti-jamming method based on greedy criterion is proposed.The new utility function based on hopping cost and only maximum of transmitter's reward are introduced.The performance evaluation shows that the proposed method can achieve a higher average throughput compared with frequency-hopping method.At last,the cognitive sweep jamming is introduced to establish a more flexible model.The research is done to formulate the optimal strategy when adapting the joint frequency-hopping and rate-adaption anti-jamming method in this model.The paper model the interactions between the transmitter and jammer as the zero-sum markov game.The optimal strategy is derived by solving the equilibrium of the game.The performance evaluation shows that joint frequency-hopping and rate-adaption anti-jamming method has a better performance than frequency-hopping method in different channel numbers and hopping costs.