Adaptive modulation and coding in underwater acoustic communications: a machine learning perspective

Adaptive modulation and coding in underwater acoustic communications: a machine learning perspective

Abstract The increasing demand for exploring and managing the vast marine resources of the planet has underscored the importance of research on advanced underwater acoustic communication (UAC) technologies. However, owing to the severe characteristics of the oceanic environment, underwater acoustic...

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Bibliographic Details
Main Authors: Lihuan Huang, Qunfei Zhang, Weijie Tan, Yue Wang, Lifan Zhang, Chengbing He, Zhi Tian
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Underwater acoustic communication (UAC)
Harsh oceanic environment
Adaptive modulation and coding (AMC)
Machine learning (ML)
Online Access:http://link.springer.com/article/10.1186/s13638-020-01818-x

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