This paper considers the joint impact of non-linear hardware impairments at the base station
(BS) and user equipments (UEs) on the uplink performance of single-cell massive MIMO …

Fifth-generation (5G) requires a highly accurate estimate of the channel state information
(CSI) to exploit the benefits of massive multiple-input-multiple-output (MaMIMO) systems. 5G …

This paper proposes a deep learning-based channel estimation method for multi-cell
interference-limited massive MIMO systems, in which base stations equipped with a large …

So far, various data‐driven approaches have been presented to obtain channel state
information (CSI) in millimeter wave multiple‐input‐multiple‐output wireless networks. In …

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 …

In this letter, we propose a deep learning (DL)-based channel estimation scheme for the
massive multiple-input multiple-output (MIMO) system. Unlike existing studies, we develop …

Exploiting massive multiple-input-multiple-output (MIMO) gains come at the expense of
obtaining accurate channel estimates at the base station. However, conventional channel …

In frequency-division-duplex (FDD) massive MIMO systems, channel state information (CSI)
feedback waiting phase does not get fully exploited since base station needs to wait for the …

Massive multiple-input multiple-output (MIMO) communication systems have a huge
potential both in terms of data rate and energy efficiency, although channel estimation …

In frequency division duplex massive MIMO systems, one critical challenge is that the
mobiles need to feed back a large downlink channel matrix to the base station, creating …