In frequency-division duplexing (FDD) cell-free massive multiple-input multiple-output
(MIMO) systems, an excessive channel estimation overhead is a critical issue that limits the …

Cell-free massive multiple-input multiple-output (CF-mMIMO) provides a consistent service
experience for the users that use mobile terminals. In frequency division duplexing (FDD) …

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 …

Obtaining channel state information (CSI) at the transmitter side is essential to take
advantage of spectral and energy efficiency in massive multiple‐input multiple‐output …

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 …

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 …

In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO)
systems, the overhead of downlink channel estimation is complex in terms of the pilot …

To fully exploit both multiplexing gain and array gain of massive multiple-input-
multipleoutput (MIMO), the channel state information must be obtained accurately at …

In this letter, a novel minimum mean square error (MSE) based channel estimation
framework is proposed to reduce the downlink channel training overhead in frequency …

This paper proposes a spatially common sparsity based adaptive channel estimation and
feedback scheme for frequency division duplex based massive multi-input multi-output …