Driven by the intelligent applications of sixth-generation (6G) mobile communication systems such as smart city and autonomous driving, which connect the physical and cyber space, the integrated sensing and communication (ISAC) brings a revolutionary change to the base stations (BSs) of 6G by integrating radar sensing and communication in the same hardware and wireless resource. However, with the requirements of long-range and accurate sensing in the applications of smart city and autonomous driving, the ISAC enabled single BS still has a limitation in the sensing range and accuracy. With the networked infrastructures of mobile communication systems, multi-BS cooperative sensing is a natural choice satisfying the requirement of long-range and accurate sensing. In this article, the framework of multi-BS cooperative sensing is proposed, breaking through the limitation of single-BS sensing. The enabling technologies, including unified ISAC performance metrics, ISAC signal design and optimization, interference management, cooperative sensing algorithms, are introduced in details. The performance evaluation results are provided to verify the effectiveness of multi-BS cooperative sensing schemes. With ISAC enabled multi-BS cooperative sensing (ISAC-MCS), the intelligent infrastructures connecting physical and cyber space can be established, ushering the era of 6G promoting the intelligence of everything.

翻译：受第六代（6G）移动通信系统智能应用（如智慧城市与自动驾驶）的驱动，这些应用连接物理空间与网络空间，集成感知与通信（ISAC）通过将雷达感知与通信功能整合至同一硬件及无线资源，为6G基站（BS）带来了革命性变革。然而，在智慧城市和自动驾驶等应用对远距离高精度感知的需求下，基于ISAC的单基站仍存在感知范围与精度的局限性。依托移动通信系统的组网基础设施，多基站协同感知成为满足远距离高精度感知需求的自然选择。本文提出多基站协同感知框架，突破单基站感知的局限，详细介绍了统一ISAC性能指标、ISAC信号设计与优化、干扰管理以及协同感知算法等使能技术，并给出性能评估结果以验证多基站协同感知方案的有效性。通过ISAC赋能的多基站协同感知（ISAC-MCS），可建立连接物理域与数字域的智能基础设施，开启6G推动万物智能的新纪元。