Due to the spatial sparsity caused by severe propagation loss, mm-wave channel estimation
can be performed by estimating the directions and gains of the paths that have significant …

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 …

We consider the problem of channel estimation for millimeter wave (mmWave) systems,
where, to minimize the hardware complexity and power consumption, an analog transmit …

In this paper, we study hierarchical codebook design for channel estimation in millimeter-
wave (mmWave) communications with a hybrid precoding structure. Due to the limited …

Multiple-input multiple-output (MIMO) systems are well suited for millimeter-wave (mmWave)
wireless communications where large antenna arrays can be integrated in small form factors …

It is challenging to acquire accurate channel knowledge for sufficient beamforming gain
because of the large number of antennas. In this paper, a deep learning aided channel …

The existing channel estimation methods for millimeter-wave communications, eg,
hierarchical search and compressed sensing, either acquire only one single multipath …

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

Millimeter-wave (mmWave) communication is a promising technology for future wireless
communication systems. By utilizing the advanced lens antenna arrays, a mmWave lens …

Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates
thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link …