Channel estimation is a fundamental problem for downlink transmission in millimeter wave
(mmWave) multiple input multiple output (MIMO) systems. This paper proposes a channel …

In this work, we address the problem of multiple-input multiple-output mmWave channel
estimation in a hybrid analog-digital architecture, by exploiting both the underlying spatial …

Spatial non-stationarity channel estimation for uplink massive MIMO systems can be
formulated as a non-uniform block sparse signal recovery problem, in which the hierarchical …

In millimeter wave (mmWave) communication systems, Channel State Information (CSI) is
extremely essential for beamforming. The traditional Successive Support Detection (SSD) …

This paper proposes a hierarchical sparse estimation of spatial non-stationarity channel for
uplink massive multiple-input multiple-output (MIMO) systems without prior information …

Aiming at the problem of low estimation accuracy under a low signal-to-noise ratio due to the
failure to consider the “beam squint” effect in millimeter-wave broadband systems, this paper …

Millimeter‐wave bands (mmWave) are considered as a strong candidate for achieving high‐
quality communication links for the future outdoor cellular systems to overcome the spectrum …

The dielectric measurements have been executed by making the use of time domain
reflectometry (TDR) technique for 1-pentanol and ethanol in the pure form and for their …

With the rapid development of the mobile internet, emerging new applications and the
Internet of Things (IoT), existing communications have several constraints to fulfill highspeed …

Channel estimation is one of the key issues in millimeter wave (mmWave) multiple input and
multiple output (MIMO) systems. This paper considers frequency-selective mmWave …