摘要
超大规模智能反射面(Extremely Large-scale Intelligent Reflecting Surface, XL-IRS)是未来6G通信系统的一个关键备选技术,其可以通过调节信号的反射来实现无线传播环境的智能可重构,从而大幅提升未来通信系统的性能。不同于现有研究工作主要关注于远场通信的小规模IRS,考虑建模更加准确的XL-IRS辅助近场通信场景。指出XL-IRS辅助通信系统中考虑近场信道模型的重要性,介绍XL-IRS系统中的近场信道建模,指出近场信道模型下的通信性能极限。从基站波束对准、XL-IRS波束训练以及波束跟踪三方面详细阐述XL-IRS辅助通信的波束管理设计方法,针对XL-IRS辅助的通信感知一体化(Integrated Sensing and Communicatioin, ISAC)的场景,详尽讨论其在近场通信的关键设计难题以及有前景的解决办法。
Extremely Large-scale Intelligent Reflecting Surface(XL-IRS)has emerged as a key candidate technology for future sixth 6G communication systems,which can cost-effectively achieve intelligent reconfiguration of wireless propagation environment by dynamically adjusting signal reflection,thus greatly improving the performance of future wireless communication systems.Different from existing research works that mainly focus on small-scale IRS assisted communication systems assuming the far-field channel model,we consider in this article a more practical XL-IRS assisted wireless systems under a more accurate near-field channel model.Specifically,we first introduce the importance of considering near-field channel model in XL-IRS assisted communication systems,and then introduce the channel modeling for XL-IRS as well as point out the performance limit under the practical near-field channel model.Secondly,the beam management design for XL-IRS assisted communications is elaborated in detail from three aspects:base station beam alignment,XL-IRS beam training,and beam tracking.Finally,we introduce the new direction of XL-IRS-assisted Integrated Sensing and Communications(ISAC),and elaborate its fundamental design issues and promising solutions.
作者
黄子轩
姚刘嘉
游昌盛
HUANG Zixuan;YAO Liujia;YOU Changsheng(School of Electronics and Communication Engineering,Guangzhou University,Guangzhou 510006,China;Department of Electronic and Electrical Engineering,Southern University of Science and Technology,Shenzhen 518055,China)
出处
《无线电通信技术》
北大核心
2024年第2期263-268,共6页
Radio Communications Technology
基金
国家自然科学基金(62201242,62331023)
国家重点研发计划青年科学家项目(2023YFB2905100)
中国科协青年人才托举工程项目(2022QNRC001)。
作者简介
黄子轩,男,(1994—),博士,讲师。主要研究方向:阵列信号处理、智能反射面、近场通信;姚刘嘉,男,(2001—)。主要研究方向:智能反射面、近场通信;通信作者:游昌盛,男,(1991—),博士,助理教授。主要研究方向:智能反射面、近场通信。
