Deep learning-based CSI feedback for beamforming in single-and multi-cell massive MIMO systems
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 …
available instantaneous channel state information (CSI) at the base station (BS). Therefore …
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 …
frequency division duplexing (FDD) systems. Due to the large frequency separation between …
Deep learning for UL/DL channel calibration in generic massive MIMO systems
C Huang, GC Alexandropoulos… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
One of the fundamental challenges to realize massive Multiple-Input Multiple-Output (MIMO)
communications is the accurate acquisition of channel state information for a plurality of …
communications is the accurate acquisition of channel state information for a plurality of …
An overview of low-rank channel estimation for massive MIMO systems
Massive multiple-input multiple-output is a promising physical layer technology for 5G
wireless communications due to its capability of high spectrum and energy efficiency, high …
wireless communications due to its capability of high spectrum and energy efficiency, high …
Compressed channel feedback for correlated massive MIMO systems
Massive multiple-input multiple-output (MIMO) is a promising approach for cellular
communication due to its energy efficiency and high achievable data rate. These …
communication due to its energy efficiency and high achievable data rate. These …