无线电通信技术2024，Vol.50Issue(2)：263-268,6.DOI:10.3969/j.issn.1003-3114.2024.02.006
超大规模智能反射面辅助的近场移动通信研究
Research on Extremely Large-scale IRS Assisted Near-field Mobile Communications
摘要
Abstract
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 Communi-cations(ISAC),and elaborate its fundamental design issues and promising solutions.关键词
智能反射面/波束管理/近场通信/通信感知一体化Key words
IRS/beam management/near-field communications/ISAC分类
信息技术与安全科学引用本文复制引用
黄子轩,姚刘嘉,游昌盛..超大规模智能反射面辅助的近场移动通信研究[J].无线电通信技术,2024,50(2):263-268,6.基金项目
国家自然科学基金(62201242,62331023) （62201242,62331023）
国家重点研发计划青年科学家项目(2023YFB2905100) （2023YFB2905100）
中国科协青年人才托举工程项目(2022QNRC001) National Natural Science Foundation of China(62201242,62331023) （2022QNRC001）
National Key R&D Program Youth Scientist Project(2023YFB2905100) （2023YFB2905100）
Young Elite Scientists Sponsorship Program by CAST(2022QNRC001) （2022QNRC001）
