1.东南大学信息科学与工程学院移动通信全国重点实验室,江苏 南京 211189
2.紫金山实验室,江苏 南京 211111
3.复旦大学空间互联网研究院,上海 200438
4.哈尔滨工业大学电子与信息工程学院,黑龙江 哈尔滨 150001
5.香港都会大学科技学院,香港 999077
6.北京交通大学计算机科学与技术学院,北京 100044
7.南京邮电大学通信与信息工程学院,江苏 南京 210003
[ "王承祥(1975- ),男,博士,东南大学首席教授、信息科学与工程学院院长、移动通信全国重点实验室副主任、紫金山实验室教授、欧洲科学院院士、欧洲科学与艺术院院士、英国爱丁堡皇家学会院士、IEEE Fellow、IET Fellow、全球高被引科学家、《IEEE无线通信汇刊》执行编委会成员,主要研究方向为无线信道测量与建模、6G/B6G全域智联网络、电磁信息论等。已出版专著4部,发表论文700余篇,荣获2025年中国电子学会自然科学一等奖、2024年IEEE尼尔谢菲尔德最佳传播论文奖、2022年中国电子学会电子信息领域优秀科技论文、2022年第七届中国科协优秀论文、2022年《物联网学报》优秀论文奖等,主持多项国家自然科学基金重大项目、国家重点研发计划项目。" ]
[ "高跃(1978‒ ),男,博士,复旦大学特聘教授、上海嘉定复旦国际教育科创中心主任、空间互联网研究院院长、IEEE Fellow、IET Fellow、中国通信学会会士,主要研究方向为天空地一体化网络和卫星互联网。主持国家自然科学基金委员会、科学技术部、上海市科学技术委员会、上海市经济和信息化委员会等部门资助项目20余项。研究成果获得欧盟信息通信技术领域地平线奖,中国通信学会自然科学奖一等奖,Journal of Communications and Information Networks(JCIN)、《中国通信》等最佳期刊论文奖,IEEE VTS杰出演讲人。曾任IEEE ComSoc无线通信技术委员会主席。" ]
[ "郭庆(1964‒ ),男,博士,哈尔滨工业大学教授、博士生导师,现任黑龙江省宽带无线通信与网络重点实验室主任。曾获得国家科技进步奖二等奖2项,省部级科技进步奖一等奖3项、二等奖3项,发表学术论文200余篇,授权国家发明专利20余项。主要研究方向为卫星移动通信系统、空间信息网络、无线传输与网络。" ]
[ "付雅茹(1990‒ ),女,博士,香港都会大学副教授、先进网络技术研究中心主任,博士生导师。主要研究方向为智能无线通信与网络、数字孪生和机器学习,发表学术论文130余篇。担任IEEE TCCN、COMST、OJCOMS、IOTJ、WCL等杂志编委。曾获得N2WOMEN全球计算机与通信领域青年女性科学家“Rising Star”、IEEE全球通信大会(GLOBECOM)最佳论文奖、IEEE无线通信快报(WCL)最佳编委奖、IEEE TCCN最佳编委奖、IEEE TCOM最佳评审人奖、香港都会大学校长卓越研究奖,并连续入选美国斯坦福大学公布的全球前2%顶尖科学家榜单。" ]
[ "陆杨(1992‒ ),男,博士,北京交通大学计算机科学与技术学院副教授、博士生导师、IEEE Senior Member、北京市科技新星、博新计划入选者,IEEE TNSE编委,主要研究方向为深度学习赋能移动通信网络。已发表论文100余篇,曾获得IEEE WCL和IEEE TNSE最佳评审人奖、中国交通运输协会科技进步奖一等奖、中国城市轨道交通协会科技进步奖二等奖,主持多项国家自然科学基金面上项目、北京市自然科学基金项目。" ]
[ "夏文超(1991‒ ),男,博士,南京邮电大学副教授,入选中国科协青年人才托举工程、江苏省科协青年科技人才托举工程、江苏省“科技副总”、2024&2025全球前2%顶尖科学家榜单(美国斯坦福大学)等,目前担任南京邮电大学物联网研究院副院长、通信技术研究所副所长。累计发表高水平论文100余篇,授权国家发明专利60余项,曾获得IEEE GLOBECOM最佳论文奖、江苏省优秀博士学位论文奖、中国通信学会优秀博士学位论文奖、中国电子学会科技奖二等奖、中国通信学会科技奖二等奖等奖项荣誉。主要研究方向为边缘智能无线网络、通感一体化、大规模MIMO等。" ]
收稿:2025-11-24,
修回:2025-12-04,
录用:2025-12-08,
纸质出版:2026-03-30
移动端阅览
王承祥,高跃,郭庆等.6G跨域通感智算融合物联网[J].物联网学报,2026,10(01):1-29.
Wang Chengxiang,Gao Yue,Guo Qing,et al.6G cross-domain integrated IoT for communication, sensing, intelligence, and computing[J].Chinese Journal on Internet of Things,2026,10(01):1-29.
王承祥,高跃,郭庆等.6G跨域通感智算融合物联网[J].物联网学报,2026,10(01):1-29. DOI: 10.11959/j.issn.2096-3750.2026.00544.
Wang Chengxiang,Gao Yue,Guo Qing,et al.6G cross-domain integrated IoT for communication, sensing, intelligence, and computing[J].Chinese Journal on Internet of Things,2026,10(01):1-29. DOI: 10.11959/j.issn.2096-3750.2026.00544.
随着全球通信技术向6G演进,传统物联网在场景上局限于陆地或低空单域部署,在功能上通信、感知、计算与智能等能力相互独立,已难以满足工业5.0、全域应急响应、智能海洋开发等场景对“空天地海全域覆盖”与“通感智算深度融合”的需求。因此,面向空天地海全域的6G跨域通感智算融合物联网成为突破上述瓶颈的核心方向。系统综述该领域的研究进展与关键技术,以期为6G跨域通感智算融合物联网的理论研究与产业落地提供系统性参考框架。首先,从场景维度梳理天基、空基、海基、地基四域物联网的发展概况,明确各域异构特性与跨域融合需求;其次,从功能维度分析通感一体化、通智融合、通算协同三类功能融合模式的技术特点,指出通信、感知、智能、计算四功能协同的必要性;进而,构建“硬件-物理-链路-网络-应用”五层跨域融合架构,提炼面向全域场景的关键性能指标及指标间的折中关系;随后,详细阐述信道测量与普适建模、跨域传输与普适通信、先进灵活多天线技术、能效优化与携能传输、信道地图与数字孪生、大模型赋能通感一体化、智能计算与云边端协同、内生安全与隐私保护等关键使能技术的研究现状;最后,提出连续立体空间无线电信道测量与建模、电磁信息论、多源数据融合AI基座模型、跨域统一标准制定等未来研究方向。
Conventional Internet of things (IoT) systems are typically deployed in terrestrial or low-altitude domains with isolated functionalities such as communication and sensing. As global communication technologies evolve towards 6G
they increasingly struggle to meet the demands of emerging applications like Industry 5.0
comprehensive emergency response
and intelligent ocean exploration. These applications require both “ubiquitous coverage across space
air
ground
and sea” and “deep integration of communication
sensing
intelligence
and computing”
promoting the emergence of the 6G cross-domain IoT as a pivotal paradigm. A systematic review of research progress and key technologies in this field was conducted to provide a systematic reference framework for both theoretical research and industrial implementation of 6G cross-domain IoT with unified communication
sensing
intelligence
and computing. Firstly
from a scenario dimension
the development landscape of IoT in four domains
including air-domain
sea-domain
and ground-domain was summarized
highlighting their heterogeneous characteristics and the need for cross-domain integration. Secondly
from a functional dimension
three integration paradigms
including integrated sensing and communication (ISAC)
communication-intelligence convergence
and communication-computing coordination
were analyzed
and the necessity of synergistic interaction among communication
sensing
intelligence
and computing were emphasized. Then
a five-layer cross-domain integration architecture spanning hardware
physical
link
network
and application layers was established
and key performance metrics along with inherent trade-offs for global-scale scenarios were identified. Furthermore
the state of research on key enabling technologies was elaborated in detail
including channel measurement and pervasive modeling
cross-domain transmission and universal communication
advanced flexible multi-antenna techniques
energy efficiency optimization
and simultaneous wireless information and power transfer
channel map and digital twins
foundation model-empowered ISAC
intelligent computing with cloud-edge-end collaboration
as well as native security and privacy preservation. Finally
future technical challenges and suggest promising research directions were proposed
such as continuous-space radio channel measurement and modeling
electromagnetic information theory
AI foundation models for multi-source data fusion
and the development of cross-domain unified standards.
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