Providing reliable broadband wireless communications in high mobility environments, such
as high-speed railway systems, remains one of the main challenges faced by the …

In this paper, online deep learning (DL)-based channel estimation algorithm for doubly
selective fading channels is proposed by employing the deep neural network (DNN). With …

This book introduces the theoretical elements at the basis of various classes of algorithms
commonly employed in the physical layer (and, in part, in MAC layer) of wireless …

In this paper, we deal with channel estimation (CE) for high-mobility orthogonal frequency
division multiplexing (OFDM) systems. To make the numerous (unknown) estimation for the …

Ambient backscatter communication (AmBC), a promising solution to future Internet of
Things (IoT), has attracted increasing attention from both academia and industry in recent …

This paper examines the problem of suppressing the dynamic clutter and multitarget
detection in a digital video broadcasting-terrestrial (DVB-T)-based passive bistatic radar …

The temporal variations in the wireless propagation channel, referred to as channel aging,
cause a mismatch between the estimated channel and the channel state at the time of data …

In this paper, we consider pilot-aided channel estimation and equalization for single-carrier
and single-carrier frequency division multiple-access (SC-FDMA) transmission over doubly …

High-speed train (HST) and vehicle-to-vehicle (V2V), as typical scenes of 5G
communication, have attracted extensive attention from academia and industry in recent …

In this paper, we propose three new compressive sensing-based algorithms for channel
estimation in millimeter wave hybrid MIMO systems over doubly (time and frequency) …