Emerging applications such as autonomous driving and Internet of things (IoT) services put forward the demand for simutaneous sensing and communication functions in the same system. Integrated sensing and communication (ISAC) has the potential to meet the demands of ubiquitous communication and high-precision sensing due to the advantages of spectrum and hardware resource sharing, as well as the mutual enhancement of sensing and communication. However, ISAC system faces severe interference requiring effective interference suppression, avoidance, and exploitation techniques. This article provides a comprehensive survey on the interference management techniques in ISAC systems, involving network architecture, system design, signal processing, and resource allocation. We first review the channel modeling and performance metrics of the ISAC system. Then, the methods for managing self-interference (SI), mutual interference (MI), and clutter in a single base station (BS) system are summarized, including interference suppression, interference avoidance and interference exploitation methods. Furthermore, cooperative interference management methods are studied to address the cross-link interference (CLI) in a coordinated multipoint ISAC (CoMP-ISAC) system. Finally, future trends are revealed. This article may provide a reference for the study of interference management in ISAC systems.

翻译：新兴应用如自动驾驶和物联网服务对同一系统同时具备感知与通信功能提出了需求。集成感知与通信（ISAC）凭借频谱与硬件资源共享以及感知与通信相互增强的优势，有望满足泛在通信与高精度感知的需求。然而，ISAC系统面临严重的干扰问题，亟需有效的干扰抑制、规避与利用技术。本文对ISAC系统中的干扰管理技术进行了全面综述，涵盖网络架构、系统设计、信号处理与资源分配。我们首先回顾了ISAC系统的信道建模与性能指标，随后总结单基站系统中自干扰、互干扰与杂波的管理方法，包括干扰抑制、干扰规避与干扰利用等方法。此外，针对协调多点ISAC（CoMP-ISAC）系统中的跨链路干扰问题，研究了协作式干扰管理方法。最后，揭示了未来发展趋势。本文可为ISAC系统干扰管理的研究提供参考。