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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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Autori principali: Xuan Geng, Yongkang Hu
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-04-01
Serie:Sensors
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Accesso online:https://www.mdpi.com/1424-8220/26/7/2188
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