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

JIANG Hao; SHI Wangqi; ZHU Qiuming; SHU Feng; WANG Jiangzhou

doi:10.11999/JEIT240518

Volume 46 Issue 12

Dec. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(12): 4383-4390

JIANG Hao, SHI Wangqi, ZHU Qiuming, SHU Feng, WANG Jiangzhou. Research on Channel Modeling and Characteristics Analysis for RIS-Enabled Near-Field Marine Communications Towards 6G[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4383-4390. doi: 10.11999/JEIT240518

Citation:

JIANG Hao, SHI Wangqi, ZHU Qiuming, SHU Feng, WANG Jiangzhou. Research on Channel Modeling and Characteristics Analysis for RIS-Enabled Near-Field Marine Communications Towards 6G[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4383-4390. doi: 10.11999/JEIT240518

Citation:

JIANG Hao, SHI Wangqi, ZHU Qiuming, SHU Feng, WANG Jiangzhou. Research on Channel Modeling and Characteristics Analysis for RIS-Enabled Near-Field Marine Communications Towards 6G[J]. Journal of Electronics & Information Technology, 2024, 46(12): 4383-4390. doi: 10.11999/JEIT240518

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

doi: 10.11999/JEIT240518 cstr: 32379.14.JEIT240518

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, Canterbury CT2 7NT, U.K

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

Received Date: 2024-06-25
Rev Recd Date: 2024-08-23

Available Online: 2024-08-30

Publish Date: 2024-12-01

Abstract

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

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References(16)

References

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