首页|智能超表面近场通信的机遇与挑战

智能超表面近场通信的机遇与挑战

扫码查看
实现无线环境的智能可控是无线通信领域研究的热门课题之一。作为 6G的关键技术之一,智能超表面(Reconfigurable Intelligent Surface,RIS)被认为是一种革命性的电磁环境调控技术。RIS以绿色、低成本的方式显著提升网络性能,通过对发射机和接收机以及传播环境的联合优化,重新定义无线系统的传播范式,构建智能可控的无线传播环境。RIS通常依赖于无源被动调控机制,但这种机制带来乘性路径损耗问题,超大规模调控单元的部署十分必要。随着阵列尺寸的扩大以及频率的提高,传统的平面波假设不再适用,近场传输不可避免。为了更精确地刻画 RIS近场传输,需要研究近场球面波的传输模型及其在辐射近场区域的影响。深入分析 RIS辅助的近场无线通信系统的信道模型,针对性地设计了适应性预编码方案和传输策略,旨在充分利用 RIS辅助近场通信的潜在优势,提升整个无线通信系统的性能和效率。
Opportunities and Challenges of Near-field Communication with RIS
Achieving intelligent and controllable wireless environments is one hot research topic in wireless communication.As a key technology of the 6G,Reconfigurable Intelligent Surface(RIS)is considered a revolutionary technology for electromagnetic environ-ment control.RIS significantly enhances network performance in an eco-friendly and cost-effective manner.It redefines the propagation paradigm of wireless systems through joint optimization of transmitters,receivers,and the propagation environment,constructing an intel-ligently controllable wireless propagation environment.RIS typically relies on passive control mechanisms,which introduce multiplicative path loss issues,making the deployment of ultra-large-scale control units crucial.With the expansion of array size and the increase in frequency,traditional plane wave assumption becomes inapplicable,and near-field transmission becomes inevitable.To precisely charac-terize the near-field transmission of RIS,it is essential to study the transmission model of near-field spherical waves and their impact in the radiative near-field region.This paper delves the channel model of RIS-assisted near-field wireless communication systems and designs adaptive precoding schemes and transmission strategies.The aim of this paper is to fully leverage potential advantages of RIS-assisted near-field communication,enhancing the performance and efficiency of entire wireless communication system.

6GRISnear-field communicationfractional fourier transformprecoding design

菅梦楠、赵亚军

展开 >

中兴通讯股份有限公司,北京 100192

移动网络和移动多媒体技术国家重点实验室,广东深圳 518055

6G 智能超表面 近场通信 分数傅里叶变换 预编码设计

2024

无线电通信技术
中国电子科技集团公司第五十四研究所

无线电通信技术

北大核心
影响因子:0.745
ISSN:1003-3114
年,卷(期):2024.50(2)
  • 18