Channel estimation for orthogonal time frequency space (OTFS) massive MIMO
Orthogonal time frequency space (OTFS) modulation outperforms orthogonal frequency
division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive …
division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive …
Beamforming design for large-scale antenna arrays using deep learning
Beamforming (BF) design for large-scale antenna arrays with limited radio frequency chains
and the phase-shifter-based analog BF architecture, has been recognized as a key issue in …
and the phase-shifter-based analog BF architecture, has been recognized as a key issue in …
Multibeam 3-D-printed Luneburg lens fed by magnetoelectric dipole antennas for millimeter-wave MIMO applications
Y Li, L Ge, M Chen, Z Zhang, Z Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A 3-D-printed Luneburg lens with a novel simplified geometry is presented. The rod-type
structures are employed as the unit cell of the gradient-index material to realize the required …
structures are employed as the unit cell of the gradient-index material to realize the required …
Wideband beamspace channel estimation for millimeter-wave MIMO systems relying on lens antenna arrays
Beamspace channel estimation is indispensable for millimeter-wave MIMO systems relying
on lens antenna arrays for achieving substantially increased data rates, despite using a …
on lens antenna arrays for achieving substantially increased data rates, despite using a …
Codebook-based training beam sequence design for millimeter-wave tracking systems
In this paper, we propose a codebook-based beam tracking strategy for mobile millimeter-
wave (mmWave) systems, where the temporal variation of the angle of departure (AoD) is …
wave (mmWave) systems, where the temporal variation of the angle of departure (AoD) is …
UL-CSI data driven deep learning for predicting DL-CSI in cellular FDD systems
Frequency division duplex (FDD) systems dominate current cellular networks due to its
advantages of low latency and strong anti-interference ability. However, the computation …
advantages of low latency and strong anti-interference ability. However, the computation …
Spatial multiplexing with limited RF chains: Generalized beamspace modulation (GBM) for mmWave massive MIMO
Millimeter wave (mmWave) massive multiple-input multiple-output (mMIMO) has been
recognized as a promising candidate for 5G communications for its capability of supporting …
recognized as a promising candidate for 5G communications for its capability of supporting …
Beamspace precoding and beam selection for wideband millimeter-wave MIMO relying on lens antenna arrays
Millimeter-wave (mmWave) multiple-input multiple-out (MIMO) systems relying on lens
antenna arrays are capable of achieving a high antenna-gain at a considerably reduced …
antenna arrays are capable of achieving a high antenna-gain at a considerably reduced …
An AMP-based network with deep residual learning for mmWave beamspace channel estimation
Y Wei, MM Zhao, M Zhao, M Lei… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Beamspace channel estimation in millimeter-wave (mmWave) massive MIMO system is a
very challenging task, especially when the number of radio-frequency chains is limited. To …
very challenging task, especially when the number of radio-frequency chains is limited. To …
On the power leakage problem in millimeter-wave massive MIMO with lens antenna arrays
The emerging millimeter-wave massive multiple-input multiple-output (MIMO) with lens
antenna arrays, which is also known as “beamspace MIMO,” can effectively reduce the …
antenna arrays, which is also known as “beamspace MIMO,” can effectively reduce the …