Machine Learning-Based 5G-and-Beyond Channel Estimation for MIMO-OFDM Communication Systems
Channel estimation plays a critical role in the system performance of wireless networks. In addition, deep learning has demonstrated significant improvements in enhancing the communication reliability and reducing the computational complexity of 5G-and-beyond networks. Even though least squares (LS)...
Main Authors: | Ha An Le, Trinh Van Chien, Tien Hoa Nguyen, Hyunseung Choo, Van Duc Nguyen |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/14/4861 |
Similar Items
-
Improved and efficient EM channel estimation algorithm for MIMO-OFDM systems
by: XU Peng1, et al.
Published: (2011-01-01) -
Improved and efficient EM channel estimation algorithm for MIMO-OFDM systems
by: XU Peng1, et al.
Published: (2011-01-01) -
New OSTBC for Blind Channel Estimation and Tracking in MIMO-OFDM Systems
by: Abdelkader Tami, et al.
Published: (2019-09-01) -
Joint channel and impulsive noise estimation method for MIMO-OFDM systems
by: Xinrong LYU, et al.
Published: (2021-12-01) -
Joint channel and impulsive noise estimation method for MIMO-OFDM systems
by: Xinrong LYU, et al.
Published: (2021-12-01)