首页|面向6G可重构智能超表面使能的近场海洋通信信道建模与信号传播机理研究

面向6G可重构智能超表面使能的近场海洋通信信道建模与信号传播机理研究

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可重构智能超表面(RIS)作为6G移动通信中的潜在关键技术之一,具有低成本、低能耗和易干部署等特点.该文提出将RIS技术引入至海洋无线通信场景中,可使无线传输环境从不可控变为可控.然而,现有的信道模型难以充分揭示RIS使能基站-海面无人船近场通信信号独特的传输机理,信道特性分析方法与建模理论难以在计算准确性与复杂度之间实现平衡.因此,该文通过对RIS使能近场海洋通信中各子信道进行建模,提出空时频多域信号传播机理分析方法,建立RIS使能基站-无人船近场海洋通信参数化统计信道模型,解决现有RIS信道建模方法难以兼顾精度与效率的技术瓶颈问题,提高RIS使能近场海洋通信系统设计过程中的信道模型匹配效率,为我国6G移动通信产业的快速发展提供技术支撑.
Research on Channel Modeling and Characteristics Analysis for RIS-Enabled Near-Field Marine Communications Towards 6G
Reconfigurable Intelligent Surfaces(RIS)is considered as one of the potential key technologies for 6G mobile communications,which offers advantages such as low cost,low energy consumption,and easy deployment.By integrating RIS technology into marine wireless channels,it has the capability to convert the unpredictable wireless transmission environment into a manageable one.However,current channel models are struggling to accurately depict the unique signal transmission mechanisms of RIS-enabled base station to ship channels in marine communication scenarios,resulting in challenges in achieving a balance between accuracy and complexity for channel characterization and theoretical establishment.Therefore,this paper develops a segmented channel modeling method for near-field RIS-enabled marine communications,and then proposed a multi-domain joint parameterized statistical channel model for RIS-enabled marine communications.This approach focus on addressing the technical bottleneck of existing RIS channel modeling methods that face difficulties in achieving a balance between accuracy and efficiency,ultimately facilitating the rapid development of the 6G mobile communication industry in China.

Reconfigurable Intelligent Surfaces(RIS)Near-field communicationsChannel modelMarine communications

江浩、石旺旗、朱秋明、束锋、WANG Jiangzhou

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南京信息工程大学人工智能学院 南京 210044

东南大学移动通信国家重点实验室 南京 210096

南京航空航天大学电子信息工程学院 南京 210016

海南大学信息与通信工程学院 海口 570228

英国肯特大学工学院肯特郡坎特伯雷市CT2 7NT

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可重构智能超表面 近场通信 信道模型 海洋通信

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(12)