Deep learning aided channel estimation approach for 5G communication systems
The defining feature of the Fifth Generation (5G) mobile communication systems is going to
be Multiple Input Multiple Output (MIMO) transmission scheme, which utilizes the multipath …
be Multiple Input Multiple Output (MIMO) transmission scheme, which utilizes the multipath …
Unlocking the power of recalling enhanced recurrent neural network: channel estimation and data analysis for 5G MIMO communication system
AS Alqahtani, P Pathak, S Pandiaraj… - Optical and Quantum …, 2024 - Springer
Multi-user detection techniques are crucial in minimizing the impact of Multi-Access
Interference in Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing …
Interference in Multiple-Input Multiple-Output Orthogonal Frequency-Division Multiplexing …
The Use of Deep Learning Techniques in OFDM Receivers for 5G NR: A Survey
Abstract The Fifth Generation (5G) New Radio (NR) wireless system is the most promising
next-generation solution to meet the needs of the increasing demands of mobile market …
next-generation solution to meet the needs of the increasing demands of mobile market …
Deep Learning-Based Channel Estimation Method for MIMO Systems in Spatially Correlated Channels
This paper proposes a deep learning-based channel estimation method for multiple-input
multiple-output (MIMO) systems in spatially correlated channels. To reduce the pilot …
multiple-output (MIMO) systems in spatially correlated channels. To reduce the pilot …
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) …
to allow lower latency, higher data rates, and more energy efficiency. Fifth generation (5G) …
Cascaded ELM-based joint frame synchronization and channel estimation over Rician fading channel with hardware imperfections
Q Chaojin, R Chuangui, Y Na, T Shuhai… - China …, 2024 - ieeexplore.ieee.org
Due to the interdependency of frame synchronization (FS) and channel estimation (CE), joint
FS and CE (JFSCE) schemes are proposed to enhance their functionalities and therefore …
FS and CE (JFSCE) schemes are proposed to enhance their functionalities and therefore …
A Novel Approach of Optimal Signal Streaming Analysis Implicated Supervised Feedforward Neural Networks
F Ali, H Yigang - IET Signal Processing, 2024 - Wiley Online Library
The analysis and interpretation of enormous amounts of data generated by 5G networks
present several challenges related to noise, precision, and feasibility validation. Therefore …
present several challenges related to noise, precision, and feasibility validation. Therefore …
Joint estimation model for FSO channel parameters and performance evaluation based on CNNs
D Chen, R Wang, C Wang, Y Gao, H Chen - Applied Optics, 2024 - opg.optica.org
Free space optical (FSO) communication systems experience turbulence-induced fading. As
a possible solution, adaptive transmission, which adjusts transmitter parameters based on …
a possible solution, adaptive transmission, which adjusts transmitter parameters based on …
An optimized deep learning model for a highly accurate DOA and channel estimation for massive MIMO systems
OH Pabbati, RC Joshi - International Journal of Communication …, 2024 - Wiley Online Library
Massive multiple‐input multiple‐output (MA‐MIMO) has been hailed as an auspicious
technology for the future generation of wireless communications because it can …
technology for the future generation of wireless communications because it can …
An Optimized Sequence for Sparse Channel Estimation in a 5G MIMO System
C Soni, N Gupta - International Journal of Electronics, 2024 - Taylor & Francis
ABSTRACT Recently, the massive Multiple-Input Multiple-Output (MIMO) system has been
integrated with machine learning approaches to realise automatic channel state information …
integrated with machine learning approaches to realise automatic channel state information …