Wireless Communication
AI驱动的自适应水下声通信
AI-Driven Adaptive Underwater Acoustic CommunicationA communication system utilizing Deep Learning and Reinforcement Learning to dynamically adapt to the complex and time-varying underwater acoustic channel environment for the underwater segment of 6G integrated networks. / 一种利用深度学习和强化学习动态适应复杂时变水下声信道环境的通信系统，用于6G集成网络的水下段。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-10 23:05:48
Sub-knowledge points
Underwater Acoustic Channel ModelingDeep Learning for Signal ProcessingReinforcement Learning for Adaptive Control
Higher-order knowledge points
6G Integrated NetworksUnderwater Wireless Sensor Networks
Main parameters and performance indicators
Deep Learning: Used for channel modeling and signal processingReinforcement Learning: Used for adaptive modulation and coding6G Integrated Networks: The overarching communication infrastructure
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsAI-Driven Adaptive Underwater Acoustic Communication Using Deep Learning and Reinforcement Learning for the Underwater Segment of 6 G Integrated NetworksOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: AI-Driven Adaptive Underwater Acoustic Communication.
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