Abstract
This paper solves the channel selection with anti-jamming problem using partially overlapping channel (POC) in limited spectrum environment. Since it is difficult for users to obtain global information of networks, this paper realizes the coordination of channel access by the local information interaction. The channel selection with anti-jamming problem is formulated as a Stackelberg game where the jammer acts as leader and users act as followers. We prove that the game model exists at least one Stackelberg equilibrium (SE) solution. To achieve the equilibrium, a hierarchical learning algorithm (HLA) is proposed. Based on the proposed method, the system can achieve the improvement of throughput performance by minimizing local interference. Simulation results show the proposed algorithm can achieve good performance under jamming environment, and the network throughput can maintain a stable state with the jamming intensity increasing.
This work was supported by the National Natural Science Foundation of China under Grant No. 61771488, No. 61671473 and No. 61701533, in part by Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant No. BK20160034, and the Guang Xi Universities Key Laboratory Fund of Embedded Technology and Intelligent System (Guilin University of Technology).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhao, L., Ge, J., Yao, K., Xu, Y., Zhang, X., Fan, M. (2019). Partially Overlapping Channel Selection in Jamming Environment: A Hierarchical Learning Approach. In: Zhai, X., Chen, B., Zhu, K. (eds) Machine Learning and Intelligent Communications. MLICOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-32388-2_12
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