The 3GPP suggests to combine dual polarized (DP) antenna arrays with the double
directional (DD) channel model for downlink channel estimation. This combination strikes a …

We consider downlink (DL) channel estimation for frequency division duplex-based massive
multiple-input multiple-output (MIMO) systems under the multipath model. Our goal is to …

In frequency division duplex massive MIMO systems, one critical challenge is that the
mobiles need to feed back a large downlink channel matrix to the base station, creating …

Massive multiple-input multiple-output is a promising physical layer technology for 5G
wireless communications due to its capability of high spectrum and energy efficiency, high …

In this paper, we develop two high-resolution channel estimation schemes based on the
estimating signal parameters via the rotational invariance techniques (ESPRIT) method for …

In mmWave massive multiple-input multiple-output (mMIMO) systems, hybrid (digital/analog)
structure has been a prevalent option to balance system cost and performance. To facilitate …

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 …

Benefitting from the vast spatial degrees of freedom, the amalgamation of integrated sensing
and communication (ISAC) and massive multiple-input multiple-output (MIMO) is expected to …

Channel estimation is a crucial problem for massive multiple input multiple output (MIMO)
systems to achieve the expected benefits in terms of spectrum and energy efficiencies …

We consider efficient channel estimation for massive multiple-input multiple-output (MIMO)
systems using one-bit analog-to-digital converters (ADCs) with antenna-varying thresholds …