[HTML][HTML] Artificial intelligence for channel estimation in multicarrier systems for B5G/6G communications: a survey

EC Vilas Boas, JDS e Silva, FAP de Figueiredo… - EURASIP Journal on …, 2022 - Springer
Multicarrier modulation allows for deploying wideband systems resilient to multipath fading
channels, impulsive noise, and intersymbol interference compared to single-carrier systems …

Deep neural networks for channel estimation in underwater acoustic OFDM systems

R Jiang, X Wang, S Cao, J Zhao, X Li - IEEE access, 2019 - ieeexplore.ieee.org
Orthogonal frequency division multiplexing (OFDM) provides a promising modulation
technique for underwater acoustic (UWA) communication systems. It is indispensable to …

Developing novel channel estimation and hybrid precoding in millimeter-wave communication system using heuristic-based deep learning

CV Ravikumar - Energy, 2023 - Elsevier
The digital or analog precoders are not carried the optimal energy efficiency in the mm-wave
massive MIMO and so, every antenna is needed with one radio frequency chain in the …

A systematic literature review on channel estimation in MIMO-OFDM system: Performance analysis and future direction

BMR Manasa, P Venugopal - Journal of Optical Communications, 2022 - degruyter.com
Abstract Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-
OFDM) is a familiar modern wireless broadband technology due to its resistance against …

Sobol′ sensitivity analysis of NAPL-contaminated aquifer remediation process based on multiple surrogates

J Luo, W Lu - Computers & geosciences, 2014 - Elsevier
Sobol′ sensitivity analyses based on different surrogates were performed on a
trichloroethylene (TCE)-contaminated aquifer to assess the sensitivity of the design …

A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication

A Kumar - International Journal of Communication Systems, 2023 - Wiley Online Library
In underwater acoustic (UWA) communication, orthogonal frequency division multiplexing
(OFDM) is a promising technology that is highly essential to get channel state information …

Turbo-coded Mimo-OFDM channel estimation using the chaotic grey wolf optimizer and genetic algorithm

C Padmaja, BL Malleswari - IETE Journal of Research, 2023 - Taylor & Francis
Turbo-Coded multiple-input multiple-output orthogonal frequency division multiplexing
Channel Estimation, using Chaotic Grey Wolf Optimizer and the Genetic Algorithm (TC …

Channel estimation using radial basis function neural network in OFDM–IDMA system

Ş Şimşir, N Taşpınar - Wireless Personal Communications, 2015 - Springer
In this paper, channel estimation based on Radial Basis Function Neural Network (RBFNN)
is proposed to estimate channel frequency responses in orthogonal frequency division …

[HTML][HTML] Adaptive neuro-fuzzy based hybrid classification model for emotion recognition from EEG signals

FK Bardak, MN Seyman, F Temurtaş - Neural Computing and Applications, 2024 - Springer
Emotion recognition using physiological signals has gained significant attention in recent
years due to its potential applications in various domains, such as healthcare and …

Binomial distribution based grey wolf optimization algorithm for channel estimation in wireless communication system

D Selvaraj, R Shanmugam… - International Journal of …, 2024 - Wiley Online Library
Several input high‐data‐rate transmissions over broadband wireless channels are possible
using multiple input multiple output (MIMO) systems paired with orthogonal frequency …