Issues, challenges, and research trends in spectrum management: A comprehensive overview and new vision for designing 6G networks

F Qamar, MUA Siddiqui, MHDN Hindia, R Hassan… - Electronics, 2020 - mdpi.com
With an extensive growth in user demand for high throughput, large capacity, and low
latency, the ongoing deployment of Fifth-Generation (5G) systems is continuously exposing …

Channel estimation techniques for millimeter-wave communication systems: Achievements and challenges

K Hassan, M Masarra, M Zwingelstein… - IEEE Open Journal of …, 2020 - ieeexplore.ieee.org
The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …

Prospective multiple antenna technologies for beyond 5G

J Zhang, E Björnson, M Matthaiou… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Multiple antenna technologies have attracted much research interest for several decades
and have gradually made their way into mainstream communication systems. Two main …

Deep learning for super-resolution channel estimation and DOA estimation based massive MIMO system

H Huang, J Yang, H Huang, Y Song… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The recent concept of massive multiple-input multiple-output (MIMO) can significantly
improve the capacity of the communication network, and it has been regarded as a …

Deep learning-based channel estimation for beamspace mmWave massive MIMO systems

H He, CK Wen, S Jin, GY Li - IEEE Wireless Communications …, 2018 - ieeexplore.ieee.org
Channel estimation is very challenging when the receiver is equipped with a limited number
of radio-frequency (RF) chains in beamspace millimeter-wave massive multiple-input and …

Channel estimation for orthogonal time frequency space (OTFS) massive MIMO

W Shen, L Dai, J An, P Fan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) modulation outperforms orthogonal frequency
division multiplexing (OFDM) in high-mobility scenarios. One challenge for OTFS massive …

Beamforming design for large-scale antenna arrays using deep learning

T Lin, Y Zhu - IEEE Wireless Communications Letters, 2019 - ieeexplore.ieee.org
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 …

Deep learning for beamspace channel estimation in millimeter-wave massive MIMO systems

X Wei, C Hu, L Dai - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
Millimeter-wave massive multiple-input multiple-output (MIMO) can use a lens antenna array
to considerably reduce the number of radio frequency (RF) chains, but channel estimation is …

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 …

Angle domain channel estimation in hybrid millimeter wave massive MIMO systems

D Fan, F Gao, Y Liu, Y Deng, G Wang… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
This paper proposes a novel direction-of-arrival (DOA)-aided channel estimation for a hybrid
millimeter-wave (mm-wave) massive multiple-input multiple-output system with a uniform …