AI 中文总结
本文综述3GPP中ISAC从5G-Advanced到6G的演进，阐述Release-19、Release-20相关内容及6G原生感知，为网络级感知的标准化选择等提供统一技术视角。
AI 中文摘要
集成感知与通信（ISAC）将移动网络从信息传输拓展至对被动对象与环境的感知，通过利用传播时延、多普勒、角度及时间变化，移动网络可在运营商管控下，复用授权频谱、基础设施与边缘计算资源，实现网络级的检测与跟踪。与传统雷达不同，ISAC还需解决多应用接入、异构感知实体、不确定性、隐私、信任及与通信服务的集成问题。本文综述了3GPP中ISAC从5G-Advanced到6G的演进，阐述了Release-19 ISAC的业务需求与信道模型、Release-20的感知功能架构与报告抽象，以及用于无人机检测与跟踪的5G单静态基线；还探讨了6G原生感知，包括被动对象感知、通信辅助、多感知模式及多源数据集成。通过关联5G-Advanced与6G中不断演进的3GPP架构与无线电研究，本文为当前标准化选择、其实现权衡及塑造网络级感知的开放挑战提供了统一技术视角。
英文摘要
Integrated sensing and communication (ISAC) extends mobile networks from information transfer toward perception of passive objects and environments. By exploiting propagation delay, Doppler, angle, and temporal variation, a mobile network can support detection and tracking while reusing licensed spectrum, infrastructure, and edge computing at network scale and under operator control. Unlike conventional radar, ISAC must additionally address multi-application access, heterogeneous sensing entities, uncertainty, privacy, trust, and integration with communication services. This article reviews the evolution of ISAC in 3GPP from 5G-Advanced to 6G. It explains Release-19 ISAC service requirements and channel models, the Release-20 sensing function architecture and reporting abstractions, and the 5G monostatic baseline for drone detection and tracking. It also examines 6G-native sensing, including passive object sensing, communication assistance, multiple sensing modes, and multi-source data integration. By connecting the evolving 3GPP architecture and radio studies across 5G-Advanced and 6G, this article provides a unified technical perspective on current standardization choices, their implementation tradeoffs, and the open challenges shaping network-grade sensing.
Comments8 pages, 4 figures, and 2 tables
