摘要
通感一体不仅是一种全新的5G-A业务,也是6G网络六大典型业务场景之一。在非视距场景下,通信覆盖是影响感知精度的关键因素。文章提出一种基于智能超表面的通感一体组网架构,旨在通过智能化调控射频模拟信号传输,重构无线信道传输特性,增强非视距场景下的通信信号和感知信号在无线空间的传输能力和干扰协调能力,以低成本、低功耗的方式提升通信网络深度覆盖能力和感知探测精度。最后,开展通感一体典型场景基于智能超表面辅助网络的系统级仿真评估,协同优化基站和智能超表面部署位置,验证智能超表面可有效提升感知精度。
Integrated Sensing and Communication(ISAC)is not only a novel 5G-Advanced service but also one of the six typical application scenarios in 6G networks.In non-line-of-sight(NLOS)environments,communication coverage is a critical factor affecting sensing accuracy.This paper proposes an ISAC networking architecture based on intelligent reflecting surfaces(IRS),aiming to dynamically construct virtual line-of-sight transmission paths through IRS,reconfigure wireless channel transmission characteristics,and enhance the transmission capabilities of both communication and sensing signals in wireless spaces under NLOS conditions.This approach achieves improved deep coverage of communication networks and enhanced sensing accuracy in a cost-effective and low-power manner.Finally,system-level simulation evaluations of typical ISAC scenarios assisted by IRS networks are conducted,optimizing the deployment locations of base stations and IRS collaboratively.The results demonstrate that the rational deployment of IRS can significantly enhance sensing accuracy.
作者
赵明阳
刘秋妍
李福昌
姚赛彬
蒋振伟
Zhao Mingyang;Liu Qiuyan;Li Fuchang;Yao Saibin;Jiang Zhenwei(China Unicom Research Institute,Beijing 100048,China;China United Network Communications Corporation Shanghai Branch,Shanghai 200082,China)
出处
《信息通信技术》
2025年第2期18-25,共8页
Information and communications Technologies
基金
移动信息网络国家科技重大专项资助:6G无线空口与接入网设计及标准研究(No.2024ZD1300500)。
