面向6G近场海洋通信信道建模与信号传播机理研究

江浩; 石旺旗; 朱秋明; 束锋; WANGJiangzhou

doi:10.11999/JEIT240518

面向6G近场海洋通信信道建模与信号传播机理研究

doi: 10.11999/JEIT240518

江浩^{1, 2, ,},
石旺旗¹,
朱秋明³,
束锋⁴,
WANGJiangzhou⁵

1.
南京信息工程大学人工智能学院南京 210044
2.
东南大学移动通信国家重点实验室南京 210096
3.
南京航空航天大学电子信息工程学院南京 210016
4.
海南大学信息与通信工程学院海口 570228
5.
英国肯特大学工学院肯特郡坎特伯雷市 CT2 7NT

基金项目: 国家自然科学基金(62471238, 62101275, 61771244, 62071234)，2021年海南省重大科技计划项目(ZDKJ2021022)

详细信息

作者简介:
江浩：男，副教授，研究方向为RIS无线信道建模与仿真、近场通信、高能效通信等

石旺旗：男，硕士生，研究方向为RIS无线通信信道建模与仿真等

朱秋明：教授，研究方向为无线信道测量建模与数字孪生、电磁频谱态势可视化测绘与认知等

束锋：男，教授，研究方向为RIS辅助的方向调制、空间调制、中继等

WANGJiangzhou：中国工程院外籍院士，英国皇家工程院院士、IEEE Fellow、IET Fellow，英国肯特大学教授，研究方位为移动通信

通讯作者:
江浩　jianghao@nuist.edu.cn

中图分类号: TN929.5
计量
- 文章访问数: 102
- HTML全文浏览量: 38
- PDF下载量: 18
- 被引次数: 0
出版历程
- 收稿日期: 2024-06-25
- 修回日期: 2024-08-23
- 网络出版日期: 2024-08-30

Research on Channel Modeling and Characteristics Analysis for RIS-Enabled Near-Field Marine Communications Towards 6G

1.
School of Artificial Intelligence/School of Future Technology, Nanjing University of Information Science and Technology, Nanjing 210044, China
2.
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
3.
College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
4.
School of Information and Communication Engineering, Hainan University, Haikou 570228, China
5.
School of Engineering, University of Kent, CT2 7NT Canterbury, U.K

Funds: The National Natural Science Foundation of China (62471238, 62101275, 61771244, 62071234), 2021 Hainan Province Major Science and Technology Plan Project (ZDKJ2021022)

摘要

摘要: 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、低能耗和易于部署等特点。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。
- 可重构智能超表面 /
- 近场通信 /
- 信道模型 /
- 海洋通信
Abstract: 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 communications /
- Channel model /
- Marine communications

HTML全文

图 1 RIS辅助无人船通信的3D通道模型

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图 2 RIS阵列子阵列切割方案示意图

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图 3 RIS使能基站-无人船通信信道在基于所提子阵列方法与传统方法的建模误差对比

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图 4 RIS使能基站-无人船通信信道模型在不同RIS阵列空间位置下的空间互相关特性

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图 5 RIS使能基站-无人船通信信道模型在不同距离参数$ {D_0} $下的空间相关特性

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图 6 RIS使能基站-无人船通信信道模型在不同时间节点下的时域自相关特性

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