Linear minimum mean square error (LMMSE) is by definition the optimal channel estimator
in the sense of mean square error criterion, but its practical application is limited by its high …

Beamforming is an attractive technique to improve the system performance for multi-input
multi-output (MIMO) communications. Previous works mainly focus on improving the data …

The (inverse) discrete Fourier transform (DFT/IDFT) is often perceived as essential to
orthogonal frequency-division multiplexing (OFDM) systems. In this paper, a deep complex …

This paper considers and analyzes the performance of semiblind, training, and data-aided
channel estimation schemes for multiple-input multiple-output (MIMO) filter bank multicarrier …

This paper presents a convolutional neural network (CNN) based filter bank multicarrier
(FBMC) system for underwater acoustic (UWA) communications. Different from traditional …

This paper addresses an adaptive implementation of frequency-domain channel estimators
for orthogonal frequency-division multiplexing (OFDM) systems to reduce computational …

In this article, we propose an iterative soft decision feedback (ISDF) equalizer to compensate
for the chromatic dispersion and nonlinear phase noise effects in 30-Gbaud coherent optical …

Sparse Bayesian learning (SBL)-based channel state information (CSI) estimation schemes
are developed for filter bank multicarrier (FBMC) systems using offset quadrature amplitude …

In this paper, we investigate the channel estimation (CE) problem in an underwater visible
light communication (UVLC) system invoking fractionally-sampled optical orthogonal …

Abstract Activating Wireless Power Transfer (WPT) in Radio-Frequency (RF) to provide on-
demand energy supply to widely deployed Internet of Everything devices is a key to the next …