The emerging space-air-ground integrated network has attracted intensive research and
necessitates reliable and efficient aeronautical communications. This paper investigates …

In this paper, a channel state information (CSI) feedback method is proposed based on deep
transfer learning (DTL). The proposed method addresses the problem of high training cost of …

Intelligent reflecting surfaces (IRSs) improve both the bandwidth and energy efficiency of
wideband communication systems by using low-cost passive elements for reflecting the …

A critical bottleneck of massive multiple-input multiple-output (MIMO) system is the huge
training overhead caused by downlink transmission, like channel estimation, downlink …

This paper considers the design of beam squint-aware channel covariance-based hybrid
beamformers for wideband cell-free millimeter-wave (mmWave) massive multiple-input …

This paper considers an angle-domain intelligent reflecting surface (IRS) system. We derive
maximum likelihood (ML) estimators for the effective angles from the base station (BS) to the …

In the existing millimeter-wave (mmWave) wireless positioning systems, the method based
on sparse Bayesian learning (SBL) uses the channel sparsity to estimate the parameters …

In this paper, we investigate two novel beamspace channel estimation schemes for
millimeter-wave MIMO-OFDM systems relying on a uniform linear antenna array. Based on …

In this article, channel estimation for millimeter-wave massive multiple-input–multiple-output
(MIMO) systems with hybrid beamforming is considered. With a large number of antenna …

Channel estimation for millimeter wave (mmWave) systems is challenging due to their large
antenna arrays. Owing to the sparse scattering nature of the mmWave channel, channel …