Downlink training techniques for FDD massive MIMO systems: Open-loop and closed-loop training with memory

J Choi, DJ Love, P Bidigare - IEEE Journal of Selected Topics …, 2014 - ieeexplore.ieee.org
The concept of deploying a large number of antennas at the base station, often called
massive multiple-input multiple-output (MIMO), has drawn considerable interest because of …

Training sequence design for feedback assisted hybrid beamforming in massive MIMO systems

S Noh, MD Zoltowski, DJ Love - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) communication is an emerging technology
that uses an excess of transmit antennas to realize high spectral efficiency. Achieving …

FDD massive MIMO via UL/DL channel covariance extrapolation and active channel sparsification

MB Khalilsarai, S Haghighatshoar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
We propose a novel method for massive multiple-input multiple-output (massive MIMO) in
frequency division duplexing (FDD) systems. Due to the large frequency separation between …

Joint channel training and feedback for FDD massive MIMO systems

W Shen, L Dai, Y Shi, B Shim… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising
technology for future 5G wireless communication systems. To achieve the theoretical …

CAnet: Uplink-aided downlink channel acquisition in FDD massive MIMO using deep learning

J Guo, CK Wen, S Jin - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
In frequency-division duplexing systems, the downlink channel state information (CSI)
acquisition scheme leads to high training and feedback overhead. In this work, we propose …

Antenna grouping based feedback compression for FDD-based massive MIMO systems

B Lee, J Choi, JY Seol, DJ Love… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Recent works on massive multiple-input multiple-output (MIMO) have shown that a potential
breakthrough in capacity gains can be achieved by deploying a very large number of …

Low-rank covariance-assisted downlink training and channel estimation for FDD massive MIMO systems

J Fang, X Li, H Li, F Gao - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
We consider the problem of downlink training and channel estimation in frequency division
duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large …

Compressed sensing-aided downlink channel training for FDD massive MIMO systems

Y Han, J Lee, DJ Love - IEEE Transactions on Communications, 2017 - ieeexplore.ieee.org
There is much discussion in industry and academia about possible technical solutions to
address the growth in demand for wireless broadband. Massive multiple-input multiple …

Machine learning prediction based CSI acquisition for FDD massive MIMO downlink

P Dong, H Zhang, GY Li - 2018 IEEE Global Communications …, 2018 - ieeexplore.ieee.org
In this paper, we propose a simple and efficient approach to reduce the overhead of
downlink channel estimation and feedback using linear regression (LR) and support vector …

Deep learning-based CSI feedback for beamforming in single-and multi-cell massive MIMO systems

J Guo, CK Wen, S Jin - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
The potentials of massive multiple-input multiple-output (MIMO) are all based on the
available instantaneous channel state information (CSI) at the base station (BS). Therefore …