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 …

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 …

Spatially correlated channel estimation based on block iterative support detection for massive MIMO systems

W Shen, L Dai, Z Gao, Z Wang - Electronics Letters, 2015 - Wiley Online Library
Downlink channel estimation with low pilot overhead is an important and challenging
problem in massive multiple‐input–multiple‐output (MIMO) systems due to the substantially …

Massive MIMO channel estimation based on block iterative support detection

W Shen, L Dai, Y Shi, Z Gao… - 2016 IEEE wireless …, 2016 - ieeexplore.ieee.org
Massive MIMO has become a promising key technology for future 5G wireless
communications to increase the channel capacity and link reliability. However, with greatly …

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 …

Weighted compressive sensing based uplink channel estimation for time division duplex massive multi‐input multi‐output systems

Y Nan, L Zhang, X Sun - Iet Communications, 2017 - Wiley Online Library
In this study, the channel estimation problem for the uplink massive multi‐input multi‐output
(MIMO) system is considered. Motivated by the observations that the channels in massive …

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 …

Low-complexity compressed sensing downlink channel estimation for multi-antenna terminals in FDD massive MIMO systems

D Zhao, T Han - IEEE Access, 2020 - ieeexplore.ieee.org
In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO)
systems, the overhead of downlink channel estimation is complex in terms of the pilot …

Efficient compressive sensing based sparse channel estimation for 5G massive MIMO systems

I Khan, D Singh - AEU-International Journal of Electronics and …, 2018 - Elsevier
Massive MIMO (multiple-input-multiple-output) is one of the key technologies of 5G mobile
cellular networks, which can form a huge antenna array by providing a large number of …

Low-complexity channel estimation in 5G massive MIMO-OFDM systems

OA Saraereh, I Khan, Q Alsafasfeh, S Alemaishat… - Symmetry, 2019 - mdpi.com
Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input
multi-output (MIMO) systems as it varies directly with the numerous antennas, which are …