Channel estimation is of great challenge for millimeter-wave (mmWave) multiple-input
multiple-output (MIMO) systems. The underlying reason can be attributed to two facts. One is …

In this paper, we consider the channel estimation problem in millimeter wave (mmWave)
wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the …

Data transmission over the millimeter wave (mmWave) in fifth-generation wireless networks
aims to support very high speed wireless communications. A substantial increase in …

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 …

Channel estimation allows millimeter wave (mmWave) MIMO communication systems to
design pre-coders and combiners under different objective functions. Hybrid MIMO …

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

We propose an iterative channel estimation algorithm based on the least square estimation
(LSE) and sparse message passing (SMP) algorithm for the millimeter wave (mmWave) …

Massive multiple-input multiple-output (MIMO) with lens antenna array, referred to as
beamspace MIMO, is attractive for millimeter wave (mmWave) communications, since it can …

In millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems, channel
estimation is a challenging task in terms of acquiring the instantaneous channel state …

Transceiver hardware impairments (eg, phase noise, high power amplifier nonlinearities, in-
phase/quadrature-phase imbalance, and quantization errors) degrade the performance of …