Joint channel estimation and symbol detection in MIMO-OFDM systems: A deep learning approach using Bi-LSTM
Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM)
system is a promising technology that provides high capacity and high data rate …
system is a promising technology that provides high capacity and high data rate …
Deep learning based channel estimation algorithm for fast time-varying MIMO-OFDM systems
Y Liao, Y Hua, Y Cai - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
Channel estimation is very challenging for multiple-input and multiple-output orthogonal
frequency division multiplexing (MIMO-OFDM) systems in high mobility environments with …
frequency division multiplexing (MIMO-OFDM) systems in high mobility environments with …
Pilot-assisted MIMO-V-OFDM systems: Compressed sensing and deep learning approaches
W Zhang, X Gao, Z Li, Y Shi - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we investigate the channel estimation and decoding methods exploiting the
channel sparsity in pilot-assisted Multiple-Input Multiple-Output (MIMO) Vector Orthogonal …
channel sparsity in pilot-assisted Multiple-Input Multiple-Output (MIMO) Vector Orthogonal …
Real-time machine learning for symbol detection in MIMO-OFDM systems
Recently, there have been renewed interests in applying machine learning (ML) techniques
to wireless systems. Nevertheless, ML-based approaches often require a large amount of …
to wireless systems. Nevertheless, ML-based approaches often require a large amount of …
Deep expectation-maximization for joint MIMO channel estimation and signal detection
To overcome the influence of channel estimation error on signal detection, this paper
presents a model-driven deep learning method for joint channel estimation and signal …
presents a model-driven deep learning method for joint channel estimation and signal …
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 …
addition, deep learning has demonstrated significant improvements in enhancing the …
Deep learning-based channel estimation in 5g mimo-ofdm systems
M Meenalakshmi, S Chaturvedi… - 2022 8th International …, 2022 - ieeexplore.ieee.org
The primary air interface of fifth-generation (5G) wireless communication is multi-input multi-
output orthogonal frequency division multiplexing (MIMO-OFDM). In addition, channel …
output orthogonal frequency division multiplexing (MIMO-OFDM). In addition, channel …
A deep learning-based detector for IM-MIMO-OFDM
Deep learning (DL) is playing an increasingly important role in the design of next-generation
communication systems. In this paper, we apply DL algorithms to enhance signal detection …
communication systems. In this paper, we apply DL algorithms to enhance signal detection …
Detect to learn: Structure learning with attention and decision feedback for MIMO-OFDM receive processing
The limited over-the-air (OTA) pilot symbols in multiple-input-multiple-output orthogonal-
frequency-division-multiplexing (MIMO-OFDM) systems presents a major challenge for …
frequency-division-multiplexing (MIMO-OFDM) systems presents a major challenge for …
Block-fading non-stationary channel estimation for MIMO-OFDM systems via meta-learning
Deep learning (DL)-based channel estimations for multiple-input-multiple-output (MIMO)
orthogonal frequency division multiplexing (OFDM) systems have shown remarkable …
orthogonal frequency division multiplexing (OFDM) systems have shown remarkable …