In this letter, we consider the channel estimation problem under pilot contamination in
massive multiple-input multiple-output (MIMO) systems. We propose a novel channel …

Pilot contamination is the reuse of pilot signals, which is a bottleneck in massive multi-input
multi-output (MIMO) systems as it varies directly with the numerous antennas, which are …

This paper focuses on time shifted pilot (TSP) based time division duplex (TDD) massive
multiple-input multiple-output (MIMO) systems. Since the performance of TSP with finite …

Downlink channel estimation with low pilot overhead is an important and challenging
problem in massive multiple‐input–multiple‐output (MIMO) systems due to the substantially …

Massive multiple-input-multiple-output (MIMO) uses a large number of antennas and radio
frequency (RF) chains which incur a huge cost and power consumption. Since high …

Pilot contamination posts a fundamental limit on the performance of massive multiple-input-
multiple-output (MIMO) antenna systems due to failure in accurate channel estimation. To …

Massive multi-user multiple-input multiple-output (MU-MIMO) systems are a promising
solution for achieving high throughput and robust transmission in next generation mobile …

In this paper, we consider the uplink channel parameter estimation problem in the presence
of pilot contamination for massive multiple-input-multiple-output (MIMO) systems. We …

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 …

This paper proposes a hierarchical sparse estimation of spatial non-stationarity channel for
uplink massive multiple-input multiple-output (MIMO) systems without prior information …