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...
Hlavní autoři: | Van Duc Nguyen, Dinh Khoa Phan, Trinh Van Chien |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
IEEE
2023-01-01
|
Edice: | IEEE Access |
Témata: | |
On-line přístup: | https://ieeexplore.ieee.org/document/10237216/ |
Podobné jednotky
-
Channel Modelling and Estimation for Shallow Underwater Acoustic OFDM Communication via Simulation Platform
Autor: Xiaoyu Wang, a další
Vydáno: (2019-01-01) -
Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
Autor: Ha An Le, a další
Vydáno: (2021-07-01) -
A Novel OFDM Approach Using Error Correcting Codes and Continuous Phase Modulation for Underwater Acoustic Communication
Autor: Mohsin Murad, a další
Vydáno: (2024-06-01) -
Mujer U’wa
Autor: Susana Cáceres
Vydáno: (2016-10-01) -
Mujer U’wa
Autor: Susana Cáceres
Vydáno: (2016-10-01)