1. 基于协调学习的分布式协同抗干扰方法.
- Author
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单靖原, 曹昕莹, and 阮朗
- Subjects
- *
SIGNALS & signaling , *FAIRNESS , *EQUILIBRIUM , *ALGORITHMS - Abstract
This paper investigates a fast and efficient dynamic channel access method for distributed channel access scenarios with strong jamming and limited channel resources to achieve effective anti-jamming communication performance. The proposed problem is constructed as a correlated equilibrium (CE)-based game model with jamming signals designed as coordination signals. To effectively raise the convergence performance under different jamming patterns, the event counters (ECs) are designed, where the coordination signal is improved according to the characteristics of the jamming signal. Next, a distributed cooperative anti-jamming approach is constructed based on coordinated learning, which effectively accelerates the generation of CE points. Based on the above approach, this paper designs a distributed channel access anti-jamming algorithm based on coordination signal optimization, and the simulation results show that the proposed approach can effectively achieve cooperative anti-jamming and channel access. Compared with the existing work, the proposed approach can achieve better communication performance and fairness in the face of sweep jamming. In the face of random jamming, it can achieve faster and better communication performance without losing fairness. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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