Deep Learning Aided Underwater Acoustic Communications and Networks
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 46
Special Issue Editors
Interests: underwater acoustic communication; deep learning; federated learning; wireless communication
Interests: underwater acoustic communications; underwater acoustic channel estimation; channel equalization; OFDM; machine learning; few-shot learning
Interests: underwater acoustic communication and network; underwater acoustic signal processing; deep-sea long-range underwater information transmission
Interests: underwater acoustic networks; medium access control; routing, and network optimization
Interests: index modulation; OTFS; OFDM; non-orthogonal multiple access; mobile edge computing; physical-layer security
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Special Issue Information
Dear Colleague,
The underwater acoustic channel is one of the most complex communication channels, which poses challenges for underwater acoustic communications. Recently, emerging modulation techniques, including Orthogonal Chirp Division Multiplexing (OCDM), Orthogonal Time Frequency Space (OTFS), Orthogonal Delay–Doppler Multiplexing (ODDM), and Affine Frequency Division Multiplexing (AFDM), have demonstrated significant potential in enhancing resilience to such harsh channel conditions. At the same time, emerging intelligent technologies are constantly being applied to underwater acoustic communication networks to improve the adaptive capabilities of the systems in complex and dynamic environments. This Special Issue is organized to facilitate the understanding of the current situation in the above-mentioned fields and the sharing of achievements, promote the research and development of theories and technologies for underwater acoustic communications, and drive the growth of related industries. Manuscripts are solicited from different perspectives, including frontier reviews, key technologies, innovative research, and engineering application achievements of underwater acoustic communications. The scope of solicitation for this Special Issue includes, but is not limited to, the following research directions:
- Novel modulation techniques for doubly selective channels
- Communication theory and technology
- Channel estimation and equalization
- Architectures, methods, and protocol stacks of communication networking
- Resource management, allocation, and scheduling
- Deep learning enhanced underwater acoustic communications
- Physics-informed deep learning over doubly selective channels
- Integrated sensing and communications
Dr. Hao Zhao
Dr. Yonglin Zhang
Dr. Weihua Jiang
Dr. Yan Wang
Prof. Dr. Miaowen Wen
Guest Editors
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Keywords
- modulation techniques
- communication theory and technology
- wireless communication and networks
- channel estimation and equalization
- architectures, methods, and protocol stacks of communication networking
- resource management, allocation, and scheduling
- physics-informed deep learning
- integrated sensing and communications
- doubly selective channels
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