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计算赋能通感一体化关键技术研究

刘向南 陈春雪 马旭 任语铮 张海君

信号处理2026,Vol.42Issue(3):420-437,18.
信号处理2026,Vol.42Issue(3):420-437,18.DOI:10.12466/xhcl.2026.03.011

计算赋能通感一体化关键技术研究

Research on Key Technologies in Integrated Sensing and Communication Empowered by Computing

刘向南 1陈春雪 1马旭 1任语铮 1张海君1

作者信息

  • 1. 北京科技大学,河北省空天地智能通信重点实验室,北京 100083
  • 折叠

摘要

Abstract

The rapidly evolving sixth-generation(6G)telecommunications framework is poised to revolutionize tradi-tional data-centric services.The new protocol is expected to support a novel network ecosystem of ubiquitous intelligent connectivity and usher in a future society characterized by pervasive intelligent services.In this context,the deep integra-tion of three major functions has emerged as the core pathway to construct intelligent 6G networks,including communi-cation,sensing,and computing.However,these functions are interdependent,which tends to result in resource compe-tition across spectrum,energy,and space.Integrated sensing,communication,and computation(ISCC)methods have been developed to achieve an organic unification of environmental sensing,information transmission,and data process-ing through resource sharing and collaborative optimization to comprehensively enhance the efficiency and intelligence of network systems.In this study,we analyzed the key technologies of ISCC at the physical layer in terms of signal de-sign,including bidirectional approaches based on communication and sensing signals.We also developed a communication-computation fusion mechanism assisted by over-the-air computation as well as collaborative beamform-ing and waveform optimization for three-function sensing,communication,and computation signals to integrate mul-tiple functions on the same physical resources efficiently.Secondly,with regard to system-level network resource man-agement,we summarize dynamic resource control methods in terms of four dimensions,including spectrum,time slots,space,and computation offloading.We also distinguish between two ISCC resource allocation paradigms referred to as task coexistence and task-oriented allocation,and our results revealed the intrinsic mechanisms of cross-layer col-laborative optimization.Finally,we suggest some possible directions for the development of ISCC systems driven by novel transmission paradigms,artificial intelligence,and digital twins.Thus,this work provides a systematic reference to advance ISCC from theory to practical deployment and supports the development of 6G systems to unleash the full po-tential of intelligent connectivity.

关键词

信号设计/资源管控/通感一体化/空中计算/移动边缘计算

Key words

signal design/resource allocation/integrated sensing and communication/over-the-air computation/mobile edge computing

分类

信息技术与安全科学

引用本文复制引用

刘向南,陈春雪,马旭,任语铮,张海君..计算赋能通感一体化关键技术研究[J].信号处理,2026,42(3):420-437,18.

基金项目

中央高校基本科研业务费专项资金资助项目(FRF-BD-25-053) (FRF-BD-25-053)

国家重点研发计划(2024YFB2907700) Project supported by the Special Fund for Basic Scientific Research Operating Expenses of Central Universities(FRF-BD-25-053) (2024YFB2907700)

National Key Research and Development Program of China(2024YFB2907700) (2024YFB2907700)

信号处理

1003-0530

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