移动通信2026,Vol.50Issue(2):20-25,6.DOI:10.3969/j.issn.1006-1010.20251129-0003
基于扩散模型的低空信道知识地图智能构建
Intelligent Construction of Low-Altitude Channel Knowledge Map Based on Diffusion Models
摘要
Abstract
The development of the low-altitude economy has spurred a variety of low-altitude applications,which results in increasing demands on sensing and communication capabilities in complex low-altitude environments.To address the above challenge,constructing low-altitude channel knowledge map(CKM)to provide wireless environment priors has become the key foundation for achieving sensing and communication in complex low-altitude environment.To this end,this paper proposes an intelligent construction method for low-altitude CKM based on diffusion models.The proposed method acquires three-dimensional(3D)channel knowledge priors by learning the joint distribution of channel knowledge at different altitudes and reconstructs the complete CKM from sparsely observed data through conditional sampling.Simulation results show that,compared with benchmark methods,the proposed approach achieves significant improvements in the accuracy of 3D CKM construction.关键词
低空经济/信道知识地图/人工智能/扩散模型Key words
low-altitude economy/channel knowledge map/artificial intelligence/diffusion model分类
信息技术与安全科学引用本文复制引用
荣昊天,富燊,曾勇..基于扩散模型的低空信道知识地图智能构建[J].移动通信,2026,50(2):20-25,6.基金项目
江苏省杰出青年基金"超大规模MIMO近场通信感知一体化研究"(BK20240070) (BK20240070)
国家自然科学基金面上项目"基于信道知识地图的复杂低空环境通感一体化理论方法"(62571116) (62571116)