电讯技术2025,Vol.65Issue(12):2022-2032,11.DOI:10.20079/j.issn.1001-893x.240715004
无线通信网络自优化智能抗干扰机理及架构
Self-optimizing Intelligent Anti-jamming Mechanism and Architecture for Wireless Communication Networks
摘要
Abstract
First,the mechanisms of self-optimizing intelligent anti-jamming are deeply explored from three aspects:learning models,network control,and resource cooperation.Then,a self-optimizing intelligent anti-jamming architecture is proposed,combining key technologies such as adversarial machine learning,deep reinforcement learning,coalition formation game,and bilateral matching game,to empower the self-optimizing intelligent anti-jamming capabilities of wireless communication networks.Through concept analysis,theoretical discussion and technical comparison,the potential of the architecture in enhancing the ability of self-discovery,self-update,and self-adaptability is revealed.Finally,future research work is prospected,in hope of providing a comprehensive perspective and guiding research in the field of anti-jamming for wireless communication networks.关键词
无线通信网络/智能抗干扰/自优化/博弈学习Key words
wireless communication network/intelligent anti-jamming/self-optimization/game learning分类
信息技术与安全科学引用本文复制引用
DING Yue,HAN Chen,AN Kang,LIN Zhi,ZHANG Yusi,ZHOU Zhanyang..无线通信网络自优化智能抗干扰机理及架构[J].电讯技术,2025,65(12):2022-2032,11.基金项目
国家自然科学基金资助项目(62201593,62471480,62201592,62171466) (62201593,62471480,62201592,62171466)