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 …
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 …
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 …
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 …
Massive multiple-input multiple-output (MIMO) is widely recognized as a promising technology for future 5G wireless communication systems. To achieve the theoretical …
To fully exploit both multiplexing gain and array gain of massive multiple-input- multipleoutput (MIMO), the channel state information must be obtained accurately at …
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 …
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 …
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 …