The Internet of Things (IoT) is transforming the whole of society. It represents the next
evolution of the Internet and will significantly improve the ability to gather and analyze data …

In this paper, the problem of pilot beam pattern design for channel estimation in massive
multiple-input multiple-output systems with a large number of transmit antennas at the base …

This paper presents a robust event-triggered model predictive control (MPC) strategy for
multiple high-speed trains (MHSTs) with random switching topologies. Due to the …

Recently, visible light communication (VLC) has attracted much attention as a possible
candidate technology to meet the ever growing demand in wireless data. However, current …

In this paper, a data-driven event-triggered cooperative control (DD-ETCC) scheme is
proposed for the multiple subway trains to realize speed tracking and dynamic headway …

This paper investigates an event-triggered adaptive control strategy for multiple high-speed
trains (MHSTs) with deception attacks in bottleneck sections. Firstly, the high-speed trains in …

Cellular networks are currently experiencing a tremendous growth of data traffic. To cope
with this demand, a close cooperation between academic researchers and industry …

In multiple-input multiple-output (MIMO) systems, channel estimation is of crucial importance
to guarantee reliable recovery of ultra-high-speed MIMO signals. This paper proposes a …

The optimal and quasi-optimal algorithms of two-stage joint estimation of information
symbols and frequency response (FR) of multibeam channels in OFDM-based …

We consider the problem of downlink training sequence design for frequency-division-
duplex multiuser massive multiple-input multiple-output systems in the general case where …