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

In this paper, we extend the bilinear generalized approximate message passing (BiG-AMP)
approach, originally proposed for high-dimensional generalized bilinear regression, to the …

In this paper, we address the design of message-passing receiver for massive multiple-input
multiple-output orthogonal frequency division multiplex (MIMO-OFDM) systems. With the aid …

In this paper, we investigate the beam domain statistical channel state information (CSI)
estimation for the two-dimensional (2D) beam-based statistical channel model (BSCM) in …

The pilot contamination caused by sharing the non-orthogonal pilots among users is
considered to be a bottleneck of the massive multi-input multi-output (MIMO) systems. This …

In massive multiple-input multiple-output (MIMO) systems, channel state information (CSI)
needs feeding back to the base station (BS) by user equipment (UE) to attain the potential …

In this paper, we study the channel estimation problem in correlated massive multiple-input-
multiple-output (MIMO) systems with a reduced number of radio-frequency (RF) chains …

The next generation of the Internet of Things (IoT) networks is expected to handle a massive
scale of sensor deployment with radically heterogeneous traffic applications, which leads to …

In this paper, we design space-time block codes (STBCs) to broadcast the common
information omnidirectionally in a massive multiple-input multiple-output downlink. To …

This paper investigates an intelligent reflecting surfaces (IRS) aided anti-jamming
communication strategy in the integrated terrestrial-satellite network (ITSN), where the IRS is …