It is expected that the sixth-generation (6G) cellular networks will provide high-accuracy
positioning services. For the millimeter wave (mmWave) frequency band in 6G, both the …

The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …

The core of multipath-based simultaneous localization and mapping (SLAM) is to utilize the
multipath propagation of signals to simultaneously achieve the estimation of the user and …

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 …

This letter considers downlink wideband channel estimation in an asymmetrical full-digital
system where the number of uplink receive radio frequency chains is less than that of the …

In this letter, we propose an efficient off-grid sparse Bayesian learning (SBL) algorithm to
estimate the near-field (NF) channel in ultra-scale massive multiple-input multiple-output …

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 …

Sparsity of channel in the next generation of wireless communication for massive multiple-
input-multiple-output (MIMO) systems can be exploited to reduce the overhead in the …

The incorporation of UAVs in 5G and envisioned 6G wireless communication systems is
considered for many applications and use-cases, either as part of the infrastructure …

Low overhead channel estimation based on compressive sensing (CS) has been widely
investigated for hybrid wideband millimeter wave (mmWave) multiple-input multiple-output …