Compressive Sensing (CS) is a new sensing modality, which compresses the signal being
acquired at the time of sensing. Signals can have sparse or compressible representation …

The thriving of artificial intelligence (AI) applications is driving the further evolution of
wireless networks. It has been envisioned that 6G will be transformative and will …

Massive access, also known as massive connectivity or massive machine-type
communication (mMTC), is one of the main use cases of the fifth-generation (5G) and …

Millimeter wave (mmWave) communication is one feasible solution for high data-rate
applications like vehicular-to-everything communication and next generation cellular …

This paper addresses the problem of downlink channel estimation in frequency-division
duplexing massive multiple-input multiple-output systems. The existing methods usually …

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 estimation for downlink millimeter wave (mmWave) multiuser multiple-input-
multiple-output (MU-MIMO) communications over a time-varying channel is demandingly …

In this paper, we propose an efficient downlink channel reconstruction scheme for a
frequency-division-duplex multi-antenna system by utilizing uplink channel state information …

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 …

This paper considers the security issue of the fifth-generation wireless networks with
massive connections, where multiple eavesdroppers aim to intercept the confidential …