Dictionary learning-based sparse channel representation and estimation for FDD massive MIMO systems

Y Ding, BD Rao - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in
frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …

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 …

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 …

High-dimensional CSI acquisition in massive MIMO: Sparsity-inspired approaches

JC Shen, J Zhang, KC Chen… - IEEE Systems Journal, 2016 - ieeexplore.ieee.org
Massive multiple-input-multiple-output (MIMO) has been regarded as one of the key
technologies for fifth-generation wireless networks, as it can significantly improve both the …

Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO

Y Gu, YD Zhang, NA Goodman - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
As a new emerging technology for wireless communications, massive multiple-input multiple-
output (MIMO) faces a significant challenge to deploy a separate receiver chain of front-end …

Joint channel training and feedback for FDD massive MIMO systems

W Shen, L Dai, Y Shi, B Shim… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising
technology for future 5G wireless communication systems. To achieve the theoretical …

Beam-blocked channel estimation for FDD massive MIMO with compressed feedback

W Huang, Y Huang, W Xu, L Yang - IEEE Access, 2017 - ieeexplore.ieee.org
To fully exploit both multiplexing gain and array gain of massive multiple-input-
multipleoutput (MIMO), the channel state information must be obtained accurately at …

Structured turbo compressed sensing for massive MIMO channel estimation using a Markov prior

L Chen, A Liu, X Yuan - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …

Compressed channel estimation for FDD massive MIMO systems without prior knowledge of sparse channel model

MJ Azizipour, K Mohamed‐Pour - IET Communications, 2019 - Wiley Online Library
In this study, a new greedy‐based algorithm for sparse channel estimation in frequency‐
division duplexing massive multiple‐input multiple‐output (MIMO) systems is introduced …

Sparse channel estimation based on compressed sensing for massive MIMO systems

C Qi, Y Huang, S Jin, L Wu - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
The sparse channel estimation which sufficiently exploits the inherent sparsity of wireless
channels, is capable of improving the channel estimation performance with less pilot …