Cooperative anti-jamming hierarchical game model and anti-jamming learning algorithm

Abstract

The invention discloses a cooperative anti-jamming hierarchical game model and an anti-jamming learning algorithm. The cooperative anti-jamming hierarchical game model is characterized in that a useris modeled as a leader, jamming is modeled as a follower, the jamming always takes the maximum reduction of throughput of a system as an optimization objective, and the user utilizes the anti-jamminglearning algorithm to adjust an anti-jamming strategy continuously, so as to maximize the overall throughput of the system. The anti-jamming learning algorithm comprises the steps of: firstly, constructing a Stackelberg game model, wherein participants are all users and the jamming; secondly, generating initial anti-jamming strategies by all the users randomly, and selecting a jamming strategy bythe jamming according to the anti-jamming strategy of one user; thirdly, selecting one anti-jamming strategy by the user randomly, calculating a corresponding utility function and comparing utility functions, and updating the jamming strategy by the jamming as actions of the user change; fourthly, performing loop iteration until the anti-jamming strategies of all the users realize convergence or reach a set number of iterations; and finally, calculating throughput of the whole network and the anti-jamming utility functions. The cooperative anti-jamming hierarchical game model and the anti-jamming learning algorithm utilize the cooperative relationship among the users to improve the anti-jamming ability of the system.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a cooperative anti-interference layered game model and an anti-interference learning algorithm. Background technique [0002] With the development of wireless technology, user communication demands are exponentially explosive, which makes research on how to reduce the impact of malicious interference on user communication quality more and more important. In response to this problem, someone proposed an anti-jamming strategy to avoid interference by frequency hopping (Liang Xiao, Tianhua Chen, Jinliang Liu, Huaiyu Dai, ``Anti-Jamming Transmission Stackelberg Game With Observation Errors", IEEE Communications Letters, vol. 19, no.6, pp.949-952, 2015.); someone proposed an anti-jamming strategy to increase the signal-to-noise ratio by adjusting the transmit power (Luliang Jia, Fuqiang Yao, Youming Sun, Yingtao Niu, Yonggang Zhu, `` Bayesian Stackelberg Game for Antij...

AI Technical Summary

Problems solved by technology

However, most studies only assume a simple jamming pattern, and do not consider the impact of intelligent jamming anti-jamming strategies, and the research focuses on the single-user single-jamming scenario, and seldom involves the more common multi-user scenarios

[0003] The Stackelberg game mainly depicts the mutual influence of hierarchical decision-making; the anti-jamming game model (Luliang Jia, Fuqiang Yao, Youming Sun, Yuhua Xu, Shuo Feng, Alagan Anpalagan, ``A Hierarchical Learning Solution for Anti-jamming Stackelberg Game with Discrete Power Strategies "IEEE Wireless Communications Letters, vol.6, no.6, pp.818-821, 2017.), a Stackelberg game model with a single leader and a single follower is constructed, and the interference is positioned as the leader, and the user communication pair is positioned For the follower, an anti-jamming model with observation error is studied, and it is solved by constructing a Bayesian-Stackelberg game, but it only considers the single-user scenario, and the anti-jamming strategy is to adjust the transmission power, and there is no Consider the multi-user multi-channel system model

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