AI使能的信道知识地图高效构建与应用

AI-Enabled Efficient Construction and Application of Channel Knowledge Map

6G对通信速率、连接密度、延迟等关键性能指标提出了更高的要求。与此同时,6G系统更强大的感知定位能力以及智能化发展使得智能驱动的环境认知通信成为可能。探讨了信道知识地图与AI结合的基本概念、融合机理与方法。一方面,信道知识地图作为实现环境认知通信的重要技术,能够学习以收发机位置或虚拟位置为索引的信道知识,从而提前获取部分信道环境先验信息。另一方面,AI日益广泛的应用,使得通信系统能够从复杂的物理环境和位置信息中提取关键特征,并学习环境特征与信道特性之间的映射关系,从而有效提升系统的环境认知能力。因此,信道知识地图与AI的深度融合有望带来6G环境认知通信的新范式,极大提升通信与感知性能。此外,全面综述了AI使能信道知识地图的构建与应用,并对比了各融合方式之间的优势和劣势,展望了AI与信道知识地图融合的未来发展方向与潜力。

6G mobile communication network demands higher standards for key performance indicators such as communication rate,connection density,and latency.At the same time,the more powerful sensing and localization capabilities of the 6G system and its intelligent development make intelligence-driven environment-aware communications possible.This paper discusses basic concepts,integration mechanisms and methods of integrating channel knowledge map(CKM)with AI.On the one hand,CKM,as a key technology to realize environment-aware communications,can learn channel knowledge indexed by transmitter-receiver locations or virtual locations,thereby obtaining a priori information about the channel environment in advance.On the other hand,the increasingly widespread application of AI allows communication systems to extract key features from complex physical environments and location information and learn the mapping relationship between environmental characteristics and channel properties,thus effectively enhancing the system's environment awareness capability.Therefore,the deep integration of CKM and AI is expected to bring a new paradigm for 6G environment-aware communications,greatly improving both communication and sensing performance.Furthermore,this paper provides a comprehensive review of the construction and application of AI-enabled CKMs,compares the advantages and disadvantages of various integration approaches,and envisions the future development directions and potential of integrating AI with CKM.