In this paper, we propose a new channel estimation scheme for TDD/FDD massive MIMO
systems by reconstructing (sometimes also referred to as covariance computing or …

We consider the problem of downlink training and channel estimation in frequency division
duplex (FDD) massive MIMO systems, where the base station (BS) equipped with a large …

Massive multiple-input multiple-output (MIMO) is one of the most promising techniques for
next generation wireless communications due to its superior capability to provide high …

Accurate channel estimation is important for massive multiple-input multiple-output (mMIMO)
to ensure good performance. Considering mMIMO application in 5G, frequency division …

This paper addresses downlink channel estimation for frequency division duplex multi-user
massive multiple-input multiple-output systems. Suppose that a base station communicates …

Massive MIMO systems exploit the favorable propagation condition of the radio channel,
whereby the vector-valued channels between the base station (BS) and the terminals …

Massive MIMO is a promising technique for future 5G communications due to its high
spectrum and energy efficiency. To realize its potential performance gain, accurate channel …

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 …

This paper addresses the problem of uplink (UL) and downlink (DL) channel estimation in
frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …

Channel covariance is emerging as a critical ingredient of the acquisition of instantaneous
channel state information (CSI) in multi-user Massive MIMO systems operating in frequency …