Tensor-based channel estimation for massive MIMO-OFDM systems

DC Araújo, ALF De Almeida, JPCL Da Costa… - IEEE …, 2019 - ieeexplore.ieee.org
Channel estimation is a crucial problem for massive multiple input multiple output (MIMO)
systems to achieve the expected benefits in terms of spectrum and energy efficiencies …

Structured compressive sensing-based spatio-temporal joint channel estimation for FDD massive MIMO

Z Gao, L Dai, W Dai, B Shim… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive MIMO is a promising technique for future 5G communications due to its high
spectrum and energy efficiency. To realize its potential performance gain, accurate channel …

Deep learning-based channel estimation for massive MIMO with hybrid transceivers

J Gao, C Zhong, GY Li, Z Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Accurate and efficient estimation of the high dimensional channels is one of the critical
challenges for practical applications of massive multiple-input multiple-output (MIMO). In the …

Compression-based LMMSE channel estimation with adaptive sparsity for massive MIMO in 5G systems

L Ge, Y Zhang, G Chen, J Tong - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
Massive multi-input multi-output (MIMO) has been regarded as one of the key technologies
for fifth generation (5G) mobile communication systems, as it can significantly enhance the …

Tensor-based low-complexity channel estimation for mmWave massive MIMO-OTFS systems

X Wu, S Ma, X Yang - Journal of Communications and …, 2020 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) modulation, collaborated with millimeter-wave
(mmWave) massive multiple-input-multiple-output (MIMO), is a promising technology for next …

Distributed compressed sensing aided sparse channel estimation in FDD massive MIMO system

R Zhang, H Zhao, J Zhang - IEEE Access, 2018 - ieeexplore.ieee.org
Massive multi-input multi-output (MIMO), which employs large number of antennas at the
base station, can significantly boost the spectral efficiency and multiplexing gain. To fully …

[HTML][HTML] Spectral and energy efficient low-overhead uplink and downlink channel estimation for 5G massive MIMO systems

I Khan, MH Zafar, MT Jan, J Lloret, M Basheri, D Singh - Entropy, 2018 - mdpi.com
Uplink and Downlink channel estimation in massive Multiple Input Multiple Output (MIMO)
systems is an intricate issue because of the increasing channel matrix dimensions. The …

Sparse channel estimation for massive MIMO-OFDM systems over time-varying channels

Q Qin, L Gui, B Gong, S Luo - IEEE Access, 2018 - ieeexplore.ieee.org
For downlink orthogonal frequency division multiplexing-based massive multiple-input-
multiple-output transmission over the time-varying channel, channel estimation is very …

Tensor-based channel estimation for dual-polarized massive MIMO systems

C Qian, X Fu, ND Sidiropoulos… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The 3GPP suggests to combine dual polarized (DP) antenna arrays with the double
directional (DD) channel model for downlink channel estimation. This combination strikes a …

Tensor decomposition-based channel estimation for hybrid mmWave massive MIMO in high-mobility scenarios

R Zhang, L Cheng, S Wang, Y Lou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) integrated with millimeter-wave (mmWave)
can provide unprecedented performance improvement for realizing future wireless …