Channel estimation and data detection using machine learning for MIMO 5G communication systems in fading channel
SN Motade, AV Kulkarni - Technologies, 2018 - mdpi.com
In multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM)
systems, multi-user detection (MUD) algorithms play an important role in reducing the effect …
systems, multi-user detection (MUD) algorithms play an important role in reducing the effect …
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 …
Channel estimation using hybrid optimizer based recurrent neural network long short term memory for MIMO communications in 5G network
In the fifth-generation (5G) networks, multiple input multiple-output (MIMO) systems are
further developed to enhance transmission reliability. However, channel estimation is one of …
further developed to enhance transmission reliability. However, channel estimation is one of …
Multiuser detection in SDMA–OFDM wireless communication system using complex multilayer perceptron neural network
The space division multiple access–orthogonal frequency division multiplexing (SDMA–
OFDM) wireless system has become very popular owing high spectral efficiency and high …
OFDM) wireless system has become very popular owing high spectral efficiency and high …
Swarm intelligence‐based deep ensemble learning machine for efficient channel estimation in MIMO communication systems
BMR Manasa, VP - International journal of communication …, 2022 - Wiley Online Library
Multiple‐input multiple‐output (MIMO) technology is much significant for achieving high data
rates while considering the multiuser communication. For this purpose, the estimation of …
rates while considering the multiuser communication. For this purpose, the estimation of …
Unlocking the power of recalling enhanced recurrent neural network: channel estimation and data analysis for 5G MIMO communication system
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 …
Channel estimation in 5G multi input multi output wireless communication using optimized deep neural framework
PR Kapula, PV Sridevi - Cluster Computing, 2022 - Springer
Channel estimation is essential in a Multiple Input Multiple Output (MIMO) wireless
communication in 5G. In the MIMO system, numerous antennas are utilized on the sender …
communication in 5G. In the MIMO system, numerous antennas are utilized on the sender …
A joint swarm intelligence algorithm for multi-user detection in MIMO-OFDM system
F Hu, D Du, P Zhang, Z Wang - International Journal of Electronics, 2014 - Taylor & Francis
In the multi-input multi-output orthogonal frequency division multiplexing (MIMO-OFDM)
system, traditional multi-user detection (MUD) algorithms that usually used to suppress …
system, traditional multi-user detection (MUD) algorithms that usually used to suppress …
Machine learning-based 5G-and-beyond channel estimation for MIMO-OFDM communication systems
Channel estimation plays a critical role in the system performance of wireless networks. In
addition, deep learning has demonstrated significant improvements in enhancing the …
addition, deep learning has demonstrated significant improvements in enhancing the …
Performance and complexity improvement of training based channel estimation in MIMO systems
Multiple-input multiple-output (MIMO) systems play a vital role in fourth generation wireless
systems to provide advanced data rate. In this paper, a better performance and reduced …
systems to provide advanced data rate. In this paper, a better performance and reduced …