面向物联网的通感算智融合:关键技术与未来展望  

Integrated Sensing,Communication,Computation,and Intelligence Towards IoT:Key Technologies and Future Directions

作　　者：王新奕 费泽松[1] 周一青[2,3] 胡杰 WANG Xinyi;FEI Zesong;ZHOU Yiqing;HU Jie(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China;State Key Laboratory of Processors,Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Information and Communication Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]北京理工大学信息与电子学院,北京100081 [2]中国科学院计算技术研究所处理器国家重点实验室,北京100190 [3]中国科学院大学,北京100049 [4]电子科技大学信息与通信工程学院,成都611731

出　　处：《电子与信息学报》2025年第4期888-908,共21页Journal of Electronics & Information Technology

基　　金：国家重点研发计划(2021YFB2900200);国家自然科学基金(U20B2039,62301032);中国博士后科学基金(2023TQ0028,2023M730267)。

摘　　要：智慧城市、智能工厂等物联网新兴业务对通信速率、感知精度、计算效率提出更高要求,算力网络的发展与通信网络内生感知与内生智能能力的挖掘为构建通信-感知-计算-智能融合的物联网奠定扎实基础。该文首先结合未来业务概述了物联网对通信、感知、计算、智能4个功能的需求;然后基于对物联网典型特征分析,阐述4项关键技术的技术原理、方法,提出通感算智一体物联网新范式,总结了相关技术的研究进展;最后探讨了技术挑战与未来研究方向。Significance The Internet of Things(IoT)has become a transformative technology in intelligent systems across diverse domains,including smart cities,industrial automation,and healthcare.However,traditional IoT systems,which isolate sensing,communication,computation,and intelligence,often face inefficiencies in resource utilization,increased latency,and scalability issues.These challenges are further intensified by the dynamic and resource-constrained requirements of future 6G IoT applications.Integrated Sensing,Communication,Computation,and Intelligence(ISCCI)offers a novel paradigm that unifies these functionalities,aiming to meet the needs of low-power transmission,multimodal sensing,low-latency computation,and distributed intelligence.By overcoming the fragmentation inherent in existing architectures,ISCCI can optimize resource allocation,enhance system adaptability,and support the development of nextgeneration IoT systems.Progress The development of 6G IoT depends on significant advancements across four key areas:communication,sensing,computation,and intelligence.These advancements aim to address the challenges of low-power transmission,multimodal sensing,low-latency computation,and distributed intelligence,enabling efficient resource utilization and robust system operation for future IoT applications.Specifically:(1)Communication:Low-power communication is essential for sustainable operation in large-scale IoT systems.Backscatter communication plays a critical role by allowing devices to transmit data without generating their own signals,thereby significantly reducing energy consumption.Simultaneously,Wireless Power Transfer(WPT)technology provides an energy-efficient solution for powering passive IoT devices,ensuring long-term operation even in resource-constrained environments.The integration of backscatter communication and WPT enhances passive IoT systems’functionality and reduces maintenance requirements.(2)Sensing:Multimodal sensing integrates data from various sensor types,enabling accurate perceptio

关 键 词：通信-感知-计算-智能融合 第6代移动通信系统 物联网 网络架构 

分 类 号：TN929.5[电子电信—通信与信息系统]