面向6G的智能通信感知一体化
Intelligent integrated sensing and communication for 6G
投稿时间: 2022/6/20 0:00:00
DOI:
中文关键词: 6G;通信感知一体化;边缘计算;AI;服务化
英文关键词: 6G; integrated sensing and communication; edge computing; AI; service-oriented
基金项目: 北京市自然科学基金-海淀原始创新联合基金重点研究专题L212004
姓名 单位
高宏伟 北京科技大学
刘向南 北京科技大学
张海君 北京科技大学
隆克平 北京科技大学
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中文摘要:

具备6G原生感知功能的通信感知一体化(Integrated Sensing And Communication , ISAC)将成为构建数字空间和元宇宙的关键技术之一。ISAC结合分布式边缘计算和人工智能,在管控多维资源的基础上,将实现通-感-算-控一体化以及云-边-端的新型全方位网络架构。本文在概述ISAC发展的基础上,提出面向6G的分布式智能ISAC架构,实现从外部感知和内生感知信息的获取,到智能信息共享和处理,最终智能化管控信息分发的闭环信息流控制,并对该架构中空口设计的关键技术加以分析。人工智能在边缘侧和系统层上的管控进一步促进实现自感知、自调度、自优化的智能化网络,最后阐述ISAC深度融合服务化并实现全方位的动态网络调控。

英文摘要:

The integrated sensing and communication (ISAC) with 6G native sensing capability has become one of the key technologies to construct digital space and metaverse. ISAC should merge distributed edge computing and AI, and on the basis of managing multi-dimensional resources, it will implement the total network architecture of communication-sensing-computing-control integration and cloud-edge-terminal. This paper proposes a 6G-oriented distributed intelligent ISAC network infrastructure to enable the closed-loop information flow control from external sensing and endogenous sensing information acquisition, to intelligent information sharing and processing, and ultimately intelligent control information distribution, with analysis of the key technologies of air interface design in this architecture. Then the AI-aided management on the edge and system level enhance the achievement of self-sensing, self-scheduling, self-optimizing intelligent network. Finally, we elaborate ISAC's deep convergence service-oriented to achieve a full scale of dynamic network regulation.

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