Deep Learning-Assisted Channel Estimation in Frequency Selective UWA Communication Systems
Envisioned future wireless gives rise to the possibility of exploiting underwater applications with high spectral efficiency and reliable communication. This paper presents a method to combine channel estimation in the time domain with neural networks and supervised learning to improve orthogonal fr...
Päätekijät: | Van Duc Nguyen, Dinh Khoa Phan, Trinh Van Chien |
---|---|
Aineistotyyppi: | Artikkeli |
Kieli: | English |
Julkaistu: |
IEEE
2023-01-01
|
Sarja: | IEEE Access |
Aiheet: | |
Linkit: | https://ieeexplore.ieee.org/document/10237216/ |
Samankaltaisia teoksia
-
Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform
Tekijä: Xiaoyu Wang, et al.
Julkaistu: (2019-01-01) -
Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
Tekijä: Ha An Le, et al.
Julkaistu: (2021-07-01) -
A Novel OFDM Approach Using Error Correcting Codes and Continuous Phase Modulation for Underwater Acoustic Communication
Tekijä: Mohsin Murad, et al.
Julkaistu: (2024-06-01) -
Mujer U’wa
Tekijä: Susana Cáceres
Julkaistu: (2016-10-01) -
Mujer U’wa
Tekijä: Susana Cáceres
Julkaistu: (2016-10-01)