| 摘要: |
| 首先，从学习模型、网络管控和资源协作三个方面深入探讨自优化智能抗干扰的机理。然后，提出了一种自优化智能抗干扰架构，结合对抗机器学习、深度强化学习、联盟形成博弈以及双边匹配博弈等关键技术，赋能无线通信网络的自优化智能抗干扰能力。通过概念辨析、理论探讨、技术对比，揭示该架构在提升网络自我发现、自我更新和自我适应能力方面的潜力。最后，对未来研究工作进行了展望，以期为无线通信网络的抗干扰研究领域提供全面的视角和指导研究。 |
| 关键词: 无线通信网络 智能抗干扰 自优化 博弈学习 |
| DOI：10.20079/j.issn.1001-893x.240715004 |
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| 基金项目:国家自然科学基金资助项目（62201593,62471480,62201592,62171466） |
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| Self-optimizing Intelligent Anti-jamming Mechanism and Architecture for Wireless Communication Networks |
| DING Yue,HAN Chen,AN Kang,LIN Zhi,ZHANG Yusi,ZHOU Zhanyang |
| (1.School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;2.The 63rd Research Institute,National University of Defense Technology,Nanjing 210007,China;3.College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;4.College of Electronic Engineering,National University of Defense Technology,Hefei 230037,China) |
| 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. |
| Key words: wireless communication network intelligent anti-jamming self-optimization game learning |
《电讯技术》编辑部 