移动通信2026，Vol.50Issue(9)：14-20,30,8.DOI:10.3969/j.issn.1006-1010.20260608-0001
低空通感一体融合网络:演进趋势、未来挑战与机遇
Low-Altitude Integrated Sensing and Communication Networks:Evolutionary Trends,Future Challenges,and Opportunities
摘要
Abstract
To address the challenges of sensing blind spots,difficult detection of low-slow-small and occluded targets,and severe clutter interference in complex low-altitude environments,this paper systematically reviews the evolutionary trends and key challenges of low-altitude integrated sensing and communication(ISAC)networks and provides a forward-looking discussion of potential technological directions.First,the evolution of sensing systems from conventional monostatic and far-field sensing toward heterogeneous multimodal collaboration and high-resolution near-field sensing enabled by extremely large aperture arrays is reviewed.Second,key challenges arising from complex three-dimensional environments,including non-line-of-sight blockage and nonstationary interference,are analyzed in depth.To overcome these challenges,key technologies are discussed,including the construction of environmental priors based on channel knowledge maps,prior-assisted target detection,and generative artificial intelligence-driven interference suppression.On this basis,the conversion of multisource sensing information into location-specific channel knowledge is further investigated,along with its applications to communication functions such as channel prediction,beam management,and mobility management.Finally,future research directions are discussed with an emphasis on field measurements and practical deployment in low-altitude scenarios.Overall,the further development of low-altitude ISAC networks requires stronger coordination between sensing and communication as well as extensive measurement-based validation in complex environments.This review provides a useful reference for future research and practical applications of low-altitude ISAC technologies.关键词
低空通感一体化/超大规模天线阵列/异构融合/信道图谱/人工智能Key words
low-altitude integrated sensing and communication/extremely large aperture arrays/heterogeneous fusion/channel knowledge maps/artificial intelligence分类
信息技术与安全科学引用本文复制引用
刘佳豪,袁晓军..低空通感一体融合网络:演进趋势、未来挑战与机遇[J].移动通信,2026,50(9):14-20,30,8.基金项目
国家自然科学基金项目"信道图谱的构建及其在6G无线通信中的应用"(62571087) （62571087）
通信抗干扰全国重点实验室基础科研创新基金项目"基于生成式AI的多天线阵列通感一体抗干扰技术研究"(IFN202507) （IFN202507）
