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Joint Optimization of Time Slot and Power Allocation in Underwater Acoustic Communication Networks

This paper proposes a joint optimization algorithm based on reinforcement learning to address the time slot and power allocation problem in underwater acoustic communication networks (UACNs). By maximizing the total capacity of successful transmissions as the optimization objective, two sub-objectiv...

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Autors principals: Xuan Geng, Yongkang Hu
Format: Artigo
Idioma:Inglês
Publicat: MDPI AG 2026-04-01
Col·lecció:Sensors
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Accés en línia:https://www.mdpi.com/1424-8220/26/7/2188
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