Future wireless networks are envisioned to simultaneously provide high data-rate communication and ubiquitous environment-aware services for numerous users. One promising approach to meet this demand is to employ network-level integrated sensing and communications (ISAC) by jointly designing the signal processing and resource allocation over the entire network. However, to unleash the full potential of network-level ISAC, some critical challenges must be tackled. Among them, interference management is one of the most significant ones. In this article, we build up a bridge between interference mitigation techniques and the corresponding optimization methods, which facilitates efficient interference mitigation in network-level ISAC systems. In particular, we first identify several types of interference in network-level ISAC systems, including self-interference, mutual interference, crosstalk, clutter, and multiuser interference. Then, we present several promising techniques that can be utilized to suppress specific types of interference. For each type of interference, we discuss the corresponding problem formulation and identify the associated optimization methods. Moreover, to illustrate the effectiveness of the proposed interference mitigation techniques, two concrete network-level ISAC systems, namely coordinated cellular network-based and distributed antenna-based ISAC systems, are investigated from interference management perspective. Experiment results indicate that it is beneficial to collaboratively employ different interference mitigation techniques and leverage the network structure to achieve the full potential of network-level ISAC. Finally, we highlight several promising future research directions for the design of ISAC systems.

翻译：未来无线网络被设想为同时为众多用户提供高数据速率通信和泛在的环境感知服务。满足这一需求的一种有前景的方法是通过在整个网络上联合设计信号处理和资源分配，采用网络级集成感知与通信（ISAC）。然而，要充分发挥网络级ISAC的潜力，必须应对一些关键挑战。其中，干扰管理是最重要的挑战之一。本文在干扰抑制技术与相应的优化方法之间架起桥梁，从而促进网络级ISAC系统中高效的干扰抑制。具体而言，我们首先识别网络级ISAC系统中的几种干扰类型，包括自干扰、互干扰、串扰、杂波和多用户干扰。然后，我们介绍了可用于抑制特定类型干扰的几种有前景的技术。针对每种干扰类型，我们讨论了相应的问题建模，并指出了相关的优化方法。此外，为说明所提出的干扰抑制技术的有效性，我们从干扰管理角度研究了两种具体的网络级ISAC系统，即基于协调蜂窝网络和基于分布式天线的ISAC系统。实验结果表明，协同采用不同的干扰抑制技术并利用网络结构以实现网络级ISAC的全部潜力是有益的。最后，我们指出了ISAC系统设计的几个有前景的未来研究方向。