面向6G通感一体的关键技术研究  

Research on Key Technologies for 6G ISAC

作　　者：汪博文 刘政扬 谢瞻远 李南希 蒋峥[1] WANG Bowen;LIU Zhengyang;XIE Zhanyuan;LI Nanxi;JIANG Zheng(China Telecom Research Institute,Beijing 102209,China)

机构地区：[1]中国电信股份有限公司研究院,北京102209

出　　处：《移动通信》2024年第10期32-40,共9页Mobile Communications

基　　金：国家重点研发计划“通感融合空口关键技术研究”(2024YFE0200102);中国科协青年人才托举工程(2022QNRC001)。

摘　　要：近年来通感一体在未来网络中的应用前景愈趋明朗,聚焦通感信道建模、波形与帧结构设计和协作感知三大关键问题,分别梳理最新研究进展,提出潜在解决方案。首先基于当前标准进展,提出涵盖大小尺度衰落和目标反/散射的分段级联通感信道统计模型;接着面向连续感知覆盖需求,开展支持组合波形、多双工模式感知的通感帧结构优化设计;最后,面向多点协作,基于干扰抑制的动态基站选择策略,提出协作感知算法。Recently,the application prospects of integrated sensing and communication(ISAC)in future networks have become increasingly clear.This paper focuses on three key issues:ISAC channel modeling,waveform and frame structure design,and cooperative sensing,reviews the latest research progress,and proposes potential solutions.Firstly,based on current standard developments,a segmented cascade ISAC channel statistical model is proposed,including both large-and small-scale fading as well as target reflection/scattering.Then,to meet the needs of continuous sensing coverage,an optimized ISAC frame structure design is developed to support composite waveforms and multiple duplexing modes for sensing.Finally,a cooperative sensing algorithm is proposed for multi-point cooperation and dynamic base station selection strategy based on interference suppression.

关 键 词：通感一体 信道建模 帧结构 协作感知 干扰抑制 

分 类 号：TN929.5[电子电信—通信与信息系统]