Downlink channel estimation with limited feedback for FDD multi-user massive MIMO with spatial channel correlation

H Almosa, S Mosleh, E Perrins… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Massive multiple input multiple output (MIMO) systems are a promising technology for next
generation wireless communications due to their ability to increase capacity and enhance …

Beam-blocked compressive channel estimation for FDD massive MIMO systems

W Huang, Z Lu, C Zhang, Y Huang… - 2016 IEEE Wireless …, 2016 - ieeexplore.ieee.org
To fully exploit the spatial multiplexing gains and array gains of massive multiple-input-
multiple-output (MIMO), the channel state information must be obtained accurately at the …

Channel estimation for FDD multi-user massive MIMO: A variational Bayesian inference-based approach

X Cheng, J Sun, S Li - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
This paper addresses downlink channel estimation for frequency division duplex multi-user
massive multiple-input multiple-output systems. Suppose that a base station communicates …

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 …

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 …

Compressive channel estimation exploiting block sparsity in multi-user massive MIMO systems

W Xu, T Shen, Y Tian, Y Wang… - 2017 IEEE Wireless …, 2017 - ieeexplore.ieee.org
Massive multiple input multiple output (MIMO) is a promising technology that can enhance
the wireless communication capacity due to increased degrees of freedom. To fully utilize …

Sparse channel estimation for massive MIMO with 1-bit feedback per dimension

Z Zhou, X Chen, D Guo… - 2017 IEEE Wireless …, 2017 - ieeexplore.ieee.org
In massive multiple-input multiple-output (MIMO) systems, acquisition of the channel state
information at the transmitter side (CSIT) is crucial. In this paper, a practical CSIT estimation …

Pattern-shared sparse bayesian learning for channel estimation in fdd massive mimo systems

X Cheng, J Sun, S Li - 2018 10th International Conference on …, 2018 - ieeexplore.ieee.org
Channel state information (CSI) is indispensable to fully unleash the great potentials of
massive multiple-input multiple-output (MIMO) systems. In this paper, we propose a pattern …

Pilot design for Gaussian mixture channel estimation in massive MIMO

Y Gu, YD Zhang - … on Acoustics, Speech and Signal Processing …, 2018 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a promising technique for 5G
communications due to its superior spectrum and energy efficiencies. Despite its many …

Semi-blind channel estimation for frequency-selective massive MIMO systems

J Mirzaei, R Adve… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Channel state information (CSI) is essential in massive multiple-input mulitple-output (MIMO)
systems. However, most of the literature focuses on frequency-flat channel estimation; in a …