Coalition Game-Based Reinforcement Learning in Underwater Acoustic Networks

Coalition Game-Based Reinforcement Learning in Underwater Acoustic Networks

Underwater Acoustic (UWA) communication plays a pivotal role in maritime operations, yet it faces persistent challenges such as limited bandwidth, high interference, and dynamic environmental conditions. The purpose of this work is to address the limitations of existing resource allocation strategie...

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Bibliographic Details
Main Authors: Khouloud Gharsalli, Sameh Najeh, Thierry Le Pors, Leila Najjar, Pierre-Jean Bouvet, Hichem Besbes
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Clustering
coalition game
cooperative game
reinforcement learning methods
Shapley value
underwater acoustic communication
Online Access:https://ieeexplore.ieee.org/document/11050371/
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