Application of cell-free massive MIMO in 5G and beyond 5G wireless networks: A survey

HI Obakhena, AL Imoize, FI Anyasi… - Journal of Engineering …, 2021 - Springer
In recent times, the rapid growth in mobile subscriptions and the associated demand for high
data rates fuels the need for a robust wireless network design to meet the required capacity …

Channel prediction in high-mobility massive MIMO: From spatio-temporal autoregression to deep learning

C Wu, X Yi, Y Zhu, W Wang, L You… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
While massive multiple-input multiple-output (MIMO) has achieved tremendous success in
both theory and practice, it faces a crisis of sharp performance degradation in moderate or …

Deep learning at the edge for channel estimation in beyond-5G massive MIMO

M Belgiovine, K Sankhe, C Bocanegra… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output (mMIMO) is a critical component in upcoming 5G
wireless deployment as an enabler for high data rate communications. mMIMO is effective …

Deep learning-based implicit CSI feedback in massive MIMO

M Chen, J Guo, CK Wen, S Jin, GY Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Massive multiple-input multiple-output can obtain more performance gain by exploiting the
downlink channel state information (CSI) at the base station (BS). Therefore, studying CSI …

Exploiting bi-directional channel reciprocity in deep learning for low rate massive MIMO CSI feedback

Z Liu, L Zhang, Z Ding - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
Channel state information (CSI) feedback is important for multiple-input multiple-output
(MIMO) wireless systems to achieve their capacity gain in frequency division duplex mode …

Deep learning for CSI feedback based on superimposed coding

C Qing, B Cai, Q Yang, J Wang, C Huang - IEEE Access, 2019 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is
a promising approach to increasing system capacity and link robustness for the fifth …

Eliminating channel feedback in next-generation cellular networks

D Vasisht, S Kumar, H Rahul, D Katabi - Proceedings of the 2016 ACM …, 2016 - dl.acm.org
This paper focuses on a simple, yet fundamental question:``Can a node infer the wireless
channels on one frequency band by observing the channels on a different frequency …

A lightweight deep network for efficient CSI feedback in massive MIMO systems

Y Sun, W Xu, L Liang, N Wang, GY Li… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
To fully exploit the advantages of massive multiple-input multiple-output (m-MIMO), accurate
channel state information (CSI) is required at the transmitter. However, excessive CSI …

Channel feedback based on AoD-adaptive subspace codebook in FDD massive MIMO systems

W Shen, L Dai, B Shim, Z Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Channel feedback is essential in frequency division duplexing (FDD) massive multiple-input
multiple-output (MIMO) systems. Unfortunately, prior work on multiuser MIMO has shown that …

Deep learning-based CSI feedback and cooperative recovery in massive MIMO

J Guo, X Yang, CK Wen, S Jin, GY Li - arXiv preprint arXiv:2003.03303, 2020 - arxiv.org
In this paper, the correlation between nearby user equipment (UE) is exploited, and a deep
learning-based channel state information (CSI) feedback and cooperative recovery …