[PDF][PDF] Artificial neural network trained by genetic algorithm for smart MIMO channel estimation for downlink LTE-advance system

NS Reshamwala, PS Suratia… - International Journal of …, 2014 - mecs-press.net
Long-Term Evolution (LTE) is the next generation of current mobile telecommunication
networks. LTE has a flat radio-network architecture and significant increase in spectrum …

[PDF][PDF] Study of ANN Configuration on Performance of Smart MIMO Channel Estimation for Downlink LTE-Advanced System

NS Reshamwala, PS Suratia, SK Shah - International Journal of …, 2013 - academia.edu
Long-Term Evolution (LTE) is the next generation of current mobile telecommunication
networks. LTE has a new flat radio-network architecture and significant increase in spectrum …

[PDF][PDF] Time-delay neural network for smart MIMO channel estimation in downlink 4G-LTE-advance system

NS Reshamwala, PS Suratia… - IJ Information Technology …, 2014 - researchgate.net
Long-Term Evolution (LTE) is the next generation of current mobile telecommunication
networks. LTE has a new flat radio-network architecture and significant increase in spectrum …

[PDF][PDF] Comparative Performance Analysis of ANN Based MIMO Channel Estimation for downlink LTE-Advanced System employing Genetic Algorithm

SK Shah, PS Suratia, NS Reshamwala - proceeding of International …, 2013 - jscse.com
Paper propose a robust channel estimator for downlink Long T erm Evolution-Advanced
(LTE-A) system using Artificial Neural Network (ANN) trained by backpropa-gation algorithm …

[PDF][PDF] Estimation of highly Selective Channels for Downlink LTE MIMO-OFDM System by a Robust Neural Network.

A Omri, R Hamila, MO Hasna… - J. Ubiquitous Syst …, 2011 - researchgate.net
In this contribution, we propose a robust highly selective channel estimator for downlink
Long Term Evolution (LTE) multiple-input multiple-output (MIMO) orthogonal frequency …

[PDF][PDF] GWO based optimal channel estimation technique for large scale Mimo in LTE network

RA Patil, P Kavipriya, BP Patil - International Journal of Innovative …, 2019 - researchgate.net
The Wireless Systems Are Employed With More Number Of Antennas For Fulfilling The
Demand For High Data Rates. In Telecommunication, Lte-A (Long Term Evolution …

[PDF][PDF] Channel estimation for LTE uplink system by perceptron neural network

A Omri, R Bouallegue, R Hamila, M Hasna - International Journal of …, 2010 - Citeseer
In this paper, a channel estimator using neural network is presented for Long Term Evolution
(LTE) uplink. This paper considers multiuser SC-FDMA uplink transmissions with doubly …

[PDF][PDF] Performance evaluation of linear channel estimation algorithms for MIMO-OFDM in LTE-advanced

S Saleem, Q Islam, W Aziz, A Basit - International Journal of …, 2011 - academia.edu
In this paper two linear channel estimation techniques, Least Square Error (LSE) and Linear
Minimum Mean Square Error (LMMSE) along with their modified versions, for reduced …

[PDF][PDF] A semi blind channel estimation method based on hybrid neural networks for uplink LTE-A

L Smirani, J Boulahia, R Bouallegue - International Journal of …, 2017 - academia.edu
The paper describes how to improve channel estimation in Single Carrier Frequency
Division Multiple Access (SC-FDMA) system, using a Hybrid Artificial Neural Networks …

A Survey on Learning-Based Channel Estimation Methods Used for 5G Massive Mimo System

R Thakur, VN Saxena - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
The continuous evolution in wireless communication, including fifth-generation (5G), tends
to allow lower latency, higher data rates, and more energy efficiency. Fifth generation (5G) …