Integrated sensing and communication mechanism based on B5G/6G reference signals

Sun Chunlei; Lu Zhiyi; Liu Xuqing; Ding Jiawei; Zhang Haijun

doi:10.11959/j.issn.2096-3750.2026.00549

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Integrated sensing and communication mechanism based on B5G/6G reference signals

Theory and Technology | 更新时间：2026-04-16

- Integrated sensing and communication mechanism based on B5G/6G reference signals
- Chinese Journal on Internet of Things Vol. 10, Issue 1, Pages: 99-111(2026)
- 作者机构：
  
  1.北京科技大学计算机与通信工程学院，北京 100083
  2.北京市科学技术研究院，北京 100094
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2026.00549
  CLC： TN915.08
- Received：10 December 2025，
  
  Revised：2025-12-30，
  
  Accepted：13 January 2026，
  
  Published：30 March 2026
- 稿件说明：
移动端阅览
孙春蕾,卢祉伊,刘旭卿等.基于B5G/6G参考信号的通信感知一体化机制[J].物联网学报,2026,10(01):99-111.

Sun Chunlei,Lu Zhiyi,Liu Xuqing,et al.Integrated sensing and communication mechanism based on B5G/6G reference signals[J].Chinese Journal on Internet of Things,2026,10(01):99-111.
孙春蕾,卢祉伊,刘旭卿等.基于B5G/6G参考信号的通信感知一体化机制[J].物联网学报,2026,10(01):99-111. DOI： 10.11959/j.issn.2096-3750.2026.00549.

Sun Chunlei,Lu Zhiyi,Liu Xuqing,et al.Integrated sensing and communication mechanism based on B5G/6G reference signals[J].Chinese Journal on Internet of Things,2026,10(01):99-111. DOI： 10.11959/j.issn.2096-3750.2026.00549.

摘要

通信感知一体化（ISAC

integrated sensing and communication）作为未来6G的关键技术之一，旨在赋予网络智能化感知能力，有效地支撑智能交通、数字孪生等创新应用。然而，现有基于参考信号（RS

reference signal）的ISAC方案受限于信号稀疏、信噪比低、以及梳状频谱引发的距离-速度模糊等问题，难以兼顾感知精度、覆盖范围与通信服务质量（QoS

communication quality of service）。聚焦基于B5G/6G参考信号的ISAC机制，针对现有系统中参考信号资源稀疏导致的感知覆盖与分辨率受限的问题，提出多类信号融合与网络化协同的ISAC架构，在保障通信用户服务质量的前提下增强系统感知能力；在此基础上，面向低信噪比（SNR

signal-to-noise ratio）、小样本观测以及梳状频谱引发的距离-速度模糊等挑战，设计高精度、鲁棒的目标参数估计算法，有效地提升通信系统感知性能。验证了基于参考信号实现高效ISAC的可行性，为6G通感融合系统提供了兼具工程实用性与理论价值的技术路径。

Abstract

Integrated sensing and communication (ISAC) is a key enabler for 6G

aiming to equip wireless networks with sensing capabilities to support applications

such as intelligent transportation and digital twins. However

the present reference signal (RS)-based ISAC mechanisms are unable to strike a balance among sensing accuracy

coverage

and communication quality of service (QoS). The ISAC schemes based on B5G/6G RSs were investigated in this paper. Firstly

a multi-signal fusion and cooperative architecture was proposed to overcome sparse signal placement and enhance sensing coverage and resolution without degrading communication quality. On this basis

a robust parameter estimation algorithm was developed to address challenges including low signal-to-noise ratio (SNR)

limited observation samples

and range-velocity ambiguity

significantly improving sensing performance. This demonstrates the feasibility of efficient RS-based ISAC strategies

providing a technically viable and theoretically sound approach for the integration of communication and sensing in 6G.

关键词

Keywords

references

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