Impact of node mobility on the DL based uplink and downlink MIMO-NOMA network

R Shankar, BP Chaudhary, H Mehraj, S Gupta… - International journal of …, 2023 - Springer
This study analyses the performance of the stacked long short-term memory (S-LSTM)-
based non-orthogonal multiple access (NOMA) system under independent and non …

Bi‐directional LSTM based channel estimation in 5G massive MIMO OFDM systems over TDL‐C model with Rayleigh fading distribution

R Shankar - International Journal of Communication Systems, 2023 - Wiley Online Library
In this work, a deep learning (DL)‐based massive multiple‐input multiple‐output (mMIMO)
orthogonal frequency division multiplexing (OFDM) system is investigated over the tapped …

[PDF][PDF] Bi-LSTM based deep learning method for 5G signal detection and channel estimation

DV Ratnam, KN Rao - AIMS Electronics and Electrical Engineering, 2021 - aimspress.com
The advanced neural network methods solve significant signal estimation and channel
characterization difficulties in the next-generation 5G wireless communication systems. The …

Least Square Estimation‐Based Different Fast Fading Channel Models in MIMO‐OFDM Systems

W Hussein, K Audah, NK Noordin… - … on Electrical Energy …, 2023 - Wiley Online Library
In cellular wireless communication systems, channel estimation (CE) plays a pivotal role as
a crucial technique applied in orthogonal frequency division multiplexing (OFDM) …

Deep Learning Based One Bit-ADCs Efficient Channel Estimation Using Fewer Pilots Overhead for Massive MIMO System

MH Rahman, MAS Sejan, MA Aziz, R Tabassum… - IEEE …, 2024 - ieeexplore.ieee.org
The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …

A novel iterative detection method based on a lattice reduction-aided algorithm for MIMO OFDM systems

H Liu, X Cheng, W Li, F Feng, L Wang, Y Xiao, S Fu - Scientific Reports, 2024 - nature.com
The lattice reduction-aided algorithm has received broad attention from researchers since it
operates as a maximum likelihood receiver with better system performance for multiple-input …

A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm

BMR Manasa, V Pakala, R Chinthaginjala, M Ayadi… - Sensors, 2023 - mdpi.com
In wireless communication, multiple signals are utilized to receive and send information in
the form of signals simultaneously. These signals consume little power and are usually …

Low complexity non-uniform fft for doppler compensation in ofdm-based underwater acoustic communication systems

HLN Thi, QK Nguyen, TH Nguyen - IEEE Access, 2022 - ieeexplore.ieee.org
The Doppler effect critically degrades the performance of orthogonal frequency division
multiplexing (OFDM) systems in general. This problem is significantly worse for underwater …

Data aided channel estimation for MIMO-OFDM wireless systems using reliable carriers

I Khan, M Cheffena, MM Hasan - IEEE Access, 2023 - ieeexplore.ieee.org
Wireless channel estimation is one of the challenging problems in multiple input multiple
output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The …

Enhancing PAPR performance in MIMO-OFDM system using hybrid optimal MMSE-MLSE equalizers

G Krishna Reddy, G Merlin Sheeba - Multimedia Tools and Applications, 2024 - Springer
Wireless communication technologies are playing a very important role in the modern world.
The use of multiple antennas with orthogonal frequency division multiple access (MIMO …