发表机构
Xi’an Jiaotong University; Stevens Institute of Technology; Shanghai Jiao Tong University（西安交通大学; 史蒂文斯理工学院; 上海交通大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文针对动态环境中ISAC面临的挑战，综述了基于AFDM的ISAC的基础、技术等，分析其性能优势，阐述关键使能技术，讨论开放挑战与未来方向，为相关研究提供参考。
AI 中文摘要
动态环境对集成感知与通信（ISAC）构成了根本性挑战，尤其源于严重的多普勒效应、快速时变信道，以及时延与多普勒频移之间的复杂耦合。具有固有表征与分离时延和多普勒效应能力的仿频分复用（AFDM），已成为动态ISAC的一种极具前景的波形。本文全面综述了动态环境中基于AFDM的ISAC，涵盖其基本原理、独特优势、代表性应用场景及关键使能技术。首先，本文刻画了动态环境中ISAC的关键特征，介绍了AFDM的基础，随后分析了AFDM可带来显著性能增益的场景；接着，详细阐述了动态环境中基于AFDM的ISAC的若干关键使能技术，并附带了其中关键方面的案例研究；最后，讨论了开放挑战与有前景的未来研究方向，旨在为研究人员和从业者提供全面参考，同时激发这一新兴领域的进一步创新。
英文摘要
Dynamic environments pose fundamental challenges to integrated sensing and communication (ISAC), particularly due to severe Doppler effects, rapidly time-varying channels, and the intricate coupling between delay and Doppler shifts. Affine frequency-division multiplexing (AFDM), with its inherent capability of characterizing and separating delay and Doppler effects, has emerged as a promising waveform for dynamic ISAC. This article provides a comprehensive overview on AFDM-enabled ISAC in dynamic environments, covering its fundamental principles, distinctive advantages, representative application scenarios, and key enabling technologies. We first characterize the key features of ISAC in dynamic environments and introduce the fundamentals of AFDM, followed by an analysis of scenarios where AFDM can provide significant performance benefits. Then, several key enabling technologies for AFDM-based ISAC in dynamic environments are elaborated upon, accompanied by case studies on the critical aspects therein. Finally, open challenges and promising future research directions are discussed, aiming to provide a comprehensive reference for researchers and practitioners while inspiring further innovation in this emerging field.
