In this study, we propose feed-forward multilayered perceptron (MLP) neural network trained
with the Levenberg–Marquardt algorithm to estimate channel parameters in MIMO–OFDM …

Recent wireless standards prefer orthogonal frequency division multiplexing (OFDM) along
with multiple input multiple output (MIMO) to offer high spectral efficiency services for any …

In underwater acoustic (UWA) communication, orthogonal frequency division multiplexing
(OFDM) is a promising technology that is highly essential to get channel state information …

How to design the pilot tones that are used in channel estimation has a significant effect on
the estimation performance. To achieve good performance in least square (LS) algorithm …

This paper conducts a comprehensive survey on fuzzy logic applications in wireless and
mobile communication area in general and of growing LTE communication networks in …

A survey of fuzzy logic applications and principles in wireless communications is presented,
with the aim of highlighting successful usage of fuzzy logic techniques in applied …

In this paper, we present a multiuser detection technique based on artificial neural network
(NN) for synchronous multicarrier code division multiple access systems over Rayleigh …

In this paper, channel estimation based on Radial Basis Function Neural Network (RBFNN)
is proposed to estimate channel frequency responses in orthogonal frequency division …

Emotion recognition using physiological signals has gained significant attention in recent
years due to its potential applications in various domains, such as healthcare and …

OFDM is a powerful modulation technique that efficiently transmits high-speed digital data
over frequency-selective fading channels. It divides the signal into multiple subcarriers, each …