面向边缘智能网络的通-感-算融合:架构、挑战和展望  

Integrated Sensing,Communication,and Computing for Edge Intelligent Networks:Architecture,Challenges,and Outlook

作　　者：齐俏 陈晓明[2] QI Qiao;CHEN Xiaoming(School of Information Science and Technology,Hangzhou Normal University,Hangzhou 311121,China;College of Information and Electronic Engineering,Zhejiang University,Hangzhou 310017,China)

机构地区：[1]杭州师范大学信息科学与技术学院,浙江杭州311121 [2]浙江大学信息与电子工程学院,浙江杭州310017

出　　处：《移动通信》2024年第3期40-46,共7页Mobile Communications

基　　金：国家自然科学基金资助项目“低轨卫星物联网移动覆盖和巨址接入理论与关键技术”(U21A20443);浙江省自然科学基金资助项目“面向B5G蜂窝物联网的大规模接入理论和技术研究”(LR20F010002)。

摘　　要：通-感-算融合作为边缘智能网络的赋能手段,可以有效实现海量数据的实时采集、传输和处理,从而为各行各业提供高效、实时的智能服务。首先,基于边缘智能网络的特点,明确了通-感-算功能的定义,提出了通-感-算融合赋能的网络架构和系统架构,给出了通-感-算融合的典型应用场景。其次,重点分析了在边缘智能网络中实现通-感-算融合的关键挑战,包括海量数据处理、复杂干扰协调和联合资源管理,并提供了相应的解决方案。最后,展望了未来可行的研究方向。Integrated sensing,communication,and computing(ISCC)serves as a pivotal enabler for edge intelligent networks,effectively facilitating the real-time acquisition,transmission,and processing of vast amounts of data,thereby delivering efficient and instantaneous intelligent services across various sectors.Initially,this paper delineates the functionalities of ISCC based on the unique attributes of edge intelligent networks,proposes network and system architectures for ISCC empowerment,and outlines typical application scenarios of ISCC.Subsequently,it focuses on analyzing the critical challenges encountered in implementing ISCC in edge intelligent networks,including massive data processing,intricate interference coordination,and joint resource management,while offering pertinent solutions.Lastly,the paper provides a forward-looking perspective on potential research directions in this burgeoning field.

关 键 词：边缘智能网络 通-感-算融合 海量数据 

分 类 号：TN929.5[电子电信—通信与信息系统]