Block compressive channel estimation and feedback for FDD massive MIMO

Z Gao, L Dai, W Dai, Z Wang - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
Channel state information (CSI) at the base station (BS) is required to fully exploit the
advantages of massive MIMO. However, due to massive BS antennas, the estimation and …

Joint channel estimation and feedback with low overhead for FDD massive MIMO systems

L Dai, Z Gao, Z Wang - 2015 IEEE/CIC International Conference …, 2015 - ieeexplore.ieee.org
Accurate channel state information (CSI) is essential to realize the potential advantages of
massive MIMO. However, the overhead required by conventional channel estimation and …

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 …

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 …

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 …

Spatially common sparsity based adaptive channel estimation and feedback for FDD massive MIMO

Z Gao, L Dai, Z Wang, S Chen - IEEE transactions on signal …, 2015 - ieeexplore.ieee.org
This paper proposes a spatially common sparsity based adaptive channel estimation and
feedback scheme for frequency division duplex based massive multi-input multi-output …

Channel estimation via oblique matching pursuit for FDD massive MIMO downlink

M Kim, J Lee, GT Gil, YH Lee - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
We consider channel estimation for massive multiple-input multiple-output (MIMO) systems
operating in frequency division duplexing (FDD) mode. By exploiting the sparsity of …

Compressed CSI acquisition in FDD massive MIMO with partial support information

JC Shen, J Zhang, E Alsusa… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Massive MIMO is a promising technique to provide unprecedented spectral efficiency.
However, it has been well recognized that huge training overhead for obtaining channel …

Frequency-selective massive MIMO channel estimation and feedback in angle-time domain

A Nasser, M Elsabrouty - 2016 IEEE Symposium on Computers …, 2016 - ieeexplore.ieee.org
Exploiting the full benefits of massive multiple input multiple output (MIMO) technology can
be directly affected by the efficiency of the channel state information (CSI) estimation. This …