In this paper, we study the channel estimation problem in correlated massive multiple-input- multiple-output (MIMO) systems with a reduced number of radio-frequency (RF) chains …
Y Gu, YD Zhang - Digital Signal Processing, 2019 - Elsevier
As the most promising technology in wireless communications, massive multiple-input multiple-output (MIMO) faces a significant challenge in practical implementation because of …
B Mansoor, SJ Nawaz, SM Gulfam - Applied Sciences, 2017 - mdpi.com
Massive multiple-input multiple-output (massive-MIMO) is foreseen as a potential technology for future 5G cellular communication networks due to its substantial benefits in terms of …
We study downlink channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in time-division duplex. The users must know their effective …
J Dai, A Liu, VKN Lau - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
This paper addresses the problem of joint downlink channel estimation and user grouping in massive multiple-input multiple-output (MIMO) systems, where the motivation comes from …
W Chen, H Xiao, L Sun, B Ai - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
To support massive connectivity for sporadically active devices is a challenging task, as the randomness of the channel and the large number of users lead to enormous increase of …
This letter addresses a problem of downlink pilot allocation for massive multiple-input multiple-output (MIMO) systems. When a massive MIMO is employed in frequency division …
X Kuai, L Chen, X Yuan, A Liu - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
Compressed sensing has been employed to reduce the pilot overhead for channel estimation in wireless communication systems. Particularly, structured turbo compressed …
Massive multiple-input-multiple-output (MIMO) is a promising technique for providing unprecedented spectral efficiency. However, it has been well recognized that the excessive …