With the emerging Integrated Sensing and Communication (ISAC) technique, exploiting the mobile communication system with multi-domain resources, multiple network elements, and large-scale infrastructures to realize cooperative sensing is a crucial approach satisfying the requirements of high-accuracy and large-scale sensing in IoE. In this article, the deep cooperation in ISAC system including three perspectives is investigated. In the microscopic perspective, namely, within a single node, the sensing information carried by time-frequency-space-code domain resources is processed, such as phase compensation, coherent accumulation and other operations, thereby improving the sensing accuracy. In the mesoscopic perspective, the sensing accuracy could be improved through the cooperation of multiple nodes. We explore various multi-node cooperative sensing scenarios and present the corresponding challenges and future research trends. In the macroscopic perspective, the massive number of infrastructures from the same operator or different operators could perform cooperative sensing to extend the sensing coverage and improve the sensing continuity. We investigate network architecture, target tracking methods, and the large-scale sensing assisted digital twin construction. Simulation results demonstrate the superiority of multi-nodes and multi-resources cooperative sensing over single resource or node sensing. This article may provide a deep and comprehensive view on the cooperative sensing in ISAC system to enhance the performance of sensing, supporting the applications of IoE.
From Intent to Infrastructure: LLM-Driven Agent Compilers for ISAC Networks
School of Computer Science and Technology, Xidian University（西安电子科技大学计算机科学与技术学院）；Institute of Systems General, Academy of Systems Engineering, Academy of Military Sciences（系统工程院系统一般研究所）
Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead
Southern University of Science and Technology（南方科技大学）；University of Technology Sydney（悉尼科技大学）；Beijing University of Posts and Telecommunications（北京邮电大学）；National Mobile Communications Research Laboratory, Southeast University（东南大学国家移动通信重点实验室）；Jilin University（吉林大学）；Nanyang Technological University（南洋理工大学）；Sungkyunkwan University（成均馆大学）
An Embodied Multiagent Framework Based on Token Communications for Cooperative ISAC
Tsinghua University（清华大学）；State Key Laboratory of Space Network and Communications, Tsinghua University（空间网络与通信国家重点实验室（清华大学））；Beijing National Research Center for Information Science and Technology, Tsinghua University（北京信息科学与技术国家研究中心（清华大学））
Rethinking Signaling Design for ISAC: From Pilot-Based to Payload-Based Sensing
Department of Electrical Engineering, KU Leuven（荷语鲁汶大学电气工程系）；Department of Electronic and Electrical Engineering, University College London（伦敦大学学院电子与电气工程系）
Physical Layer Security for Integrated Sensing and Communication: A Survey
Graduate School of Engineering, Osaka University（大阪大学大学院工学研究科）；Graduate School of Environment and Information Sciences, Yokohama National University（横滨国立大学环境信息科学研究院）
Heterogeneous Mixture-of-Experts for Energy-Efficient Multimodal ISAC in Highly Mobile Networks
University of Electronic Science and Technology of China（电子科技大学）；Concordia University（康考迪亚大学）；New York University（纽约大学）；China Mobile Research Institute（中国移动研究院）
Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts
University of Electronic Science and Technology of China（电子科技大学）；Wireless Research Lab, Engineering Division, New York University Abu Dhabi (NYUAD)（纽约大学阿布扎比分校工程学院无线研究实验室）；China Mobile Research Institute（中国移动研究院）；Southwest China Research Institute of Electronic Equipment (SWIEE)（中国西南电子设备研究所）；Institute for Information Systems Engineering, Concordia University（康考迪亚大学信息系统工程研究所）
Cooperative Bistatic ISAC Systems for Low-Altitude Economy
National Mobile Communications Research Laboratory, Southeast University（国家移动通信重点实验室，东南大学）；China Mobile Group Design Institute Co., Ltd.（中国移动集团设计院有限公司）
