Marshall, Mervin A. and Ouf, Mohamed A. and Elkhateeb, Abdelrahman and Soliman, Abdelmoneim and Rahaman, Md Safiqur and Mobarak, Sara (2024) A REVIEW OF RECONFIGURABLE INTELLIGENT SURFACES AND THEIR APPLICATION TO MACHINE LEARNING-ASSISTED UNDERWATER COMMUNICATIONS. Journal of Ocean Technology, 19 (4). pp. 52-84. ISSN 1718-3200
[English]
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Abstract
Underwater communication systems face unique challenges that require advanced research and technologies. Environmental factors such as surface scattering, harsh sea conditions, water currents, and marine life can disrupt the propagation of acoustic signals. Integrating Reconfigurable Intelligent Surfaces (RISs) into underwater communication systems is a promising solution to address these challenges. RISs enhance signal propagation by creating optimal environments through passive beamforming and phase tuning, reducing scattering and absorption. This research proposes integrating RIS technology with machine learning (ML) techniques in underwater communication systems, leveraging recent advancements in both fields. This paper is the first to combine RIS technology with ML techniques in underwater communications while offering a comprehensive bibliometric analysis of RISs.
Item Type: | Article |
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URI: | http://research.library.mun.ca/id/eprint/16830 |
Item ID: | 16830 |
Keywords: | Reconfigurable Intelligent Surfaces (RISs); Bibliometric Analysis; Wireless Communication; Underwater Communications; Machine Learning (ML); Artificial Intelligence (AI); Research Productivity; Internet of Underwater Things (IoUWT); Challenge State Information (CSI); Non-Orthogonal Multiple Access (NOMA); Multiple Input Multiple Output (MIMO) |
Department(s): | Marine Institute Marine Institute > School of Maritime Studies |
Date: | 6 December 2024 |
Date Type: | Publication |
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