Reinforcement learning-based automated modulation switching algorithm for an enhanced underwater acoustic communication

Acoustic communication is the preferred method for underwater communication due to its superior propagation characteristics, including longer range, lower attenuation, better penetration, and adaptability to water density. However, challenges like varying water depths, temperature gradients, noise,...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Sweta T, Ruthrapriya S, Sneka J, John Sahaya Rani Alex, Rohith G, Mangal Das
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2024-09-01
Sarja:	Results in Engineering
Aiheet:	Reinforcement learning OFDM FSK UNET Acoustic modem Underwater
Linkit:	http://www.sciencedirect.com/science/article/pii/S2590123024010466
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