Channel estimation (CE) in massive MIMO system with limited RF chains is known to be a
challenging problem. In many cases, base station (BS) can obtain certain channel support …

The knowledge of CSI at the BS (CSIT) is required to achieve the high spectrum efficiency
promised by massive MIMO. In Frequency-Division Duplex (FDD) Massive MIMO systems …

Massive MIMO is considered as one key enabling technology in 5G communications.
Although the high-quality channel state information (CSI) estimation is essential to improve …

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 …

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 …

The problem of wideband massive MIMO channel estimation is considered. Targeting for
low complexity algorithms as well as small training overhead, a compressive sensing (CS) …

We address the downlink channel estimation problem for massive multiple-input multiple-
output (MIMO) systems in this paper, where the inherit burst-sparsity structure is exploited 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 …

Channel estimation is a crucial part of massive MIMO systems and without accurate channel
state information, the promising array and multiplexing gains cannot be achieved. In typical …

The paper proposes a weighted lp minimization algorithm for downlink channel estimation in
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) system …