Recently, compressive sensing based massive multiple input multiple output (MIMO)
channel estimation (CE) has attracted intensive research interest. By exploiting the …

Numerical evidence suggests that compressive sensing (CS) approaches for wideband
massive MIMO channel estimation can achieve very good performance with limited training …

In order to realize the advantages of the massive MIMO systems, the channel state
information must be obtained at the base station (BS). However, it is a challenging task in …

Accurate channel estimation with small pilot overhead is vital to improve the capacity and
reliability of massive MIMO systems. Recently, compressed sensing has been applied to …

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 …

This paper addresses wideband channel estimation in an uplink massive multiple-input
multiple-output (MIMO) system, which consists of multiple single-antenna users and a base …

We investigate wideband uplink channel estimation for a multi-user (MU) multiple-input
single-output (MISO) OFDM system, in which the base station (BS) is equipped with an …

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) …

To reduce the pilot overhead of downlink channel estimation in massive multiple-input-
multiple-output (MIMO) systems, a sparse recovery algorithm relying on the vector …

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 …