Channel estimation for downlink millimeter wave (mmWave) multiuser multiple-input-
multiple-output (MU-MIMO) communications over a time-varying channel is demandingly …

Channel estimation is of critical importance in millimeter-wave (mmWave) multiple-input
multiple-output (MIMO) systems. Due to the use of large antenna arrays, low-complexity …

This paper is concerned with the channel estimation problem in millimeter wave (mmWave)
wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the …

Millimeter-wave (mmWave) communication in combination with massive multiuser multiple-
input multiple-output (MU-MIMO) enables high-bandwidth data transmission to multiple …

In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave
(mmWave) systems, where the number of radio frequency (RF) chains is much less than the …

Millimeter wave multiple-input multiple-output (MIMO) systems equipped with large-sized
array antennas have a great potential to boost the achievable data rates by leveraging large …

Robust channel estimation in time-varying channels is used to guarantee the quality of
communication services, especially for Vehicle-to-Everything (V2X) scenarios. To improve …

The fifth-generation (5G) of cellular networks and beyond requires massive connectivity,
high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G …

We consider the problem of uplink channel estimation for millimeter wave (mmWave)
systems, where the base station (BS) and mobile stations (MSs) are equipped with large …

In millimeter wave (mm-wave) massive multiple-input multiple-output (MIMO) systems,
acquiring accurate channel state information is essential for efficient beamforming (BF) and …