Enhancing channel estimation accuracy in polar-coded MIMO–OFDM systems via CNN with 5G channel models

M Meenalakshmi, S Chaturvedi, VK Dwivedi - AEU-International Journal of …, 2024 - Elsevier
In this paper, a novel channel estimation technique for multiple-input multiple-output
orthogonal frequency-division multiplexing (MIMO–OFDM) systems in fifth generation (5G) …

Semi-supervised ML-based joint channel estimation and decoding for m-MIMO with Gaussian inference learning

JA Soares, KS Mayer… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
This letter proposes the use of quasi-orthogonal space-time block codes (QOSTBC) to
enhance link quality and reliability in massive multiple-input multiple-output (m-MIMO) …

Enhancing 6G network security: GANs for pilot contamination attack detection in massive MIMO systems

JD Yadav, VK Dwivedi, S Chaturvedi - AEU-International Journal of …, 2024 - Elsevier
Accurate channel estimation at the base station (BS) is crucial for reliable, high-throughput
communication in massive multiple input multiple output (MIMO) systems. However, the …

Reconfigurable hardware implementation of K-nearest neighbor algorithm on FPGA

MH Yacoub, SM Ismail, LA Said, AH Madian… - … -International Journal of …, 2024 - Elsevier
Abstract Nowadays, Machine Learning is commonly integrated into most daily life
applications in various fields. The K Nearest Neighbor (KNN), which is a robust Machine …

A deep convolutional-LSTM neural network for signal detection of downlink NOMA system

B Panda, P Singh - AEU-International Journal of Electronics and …, 2023 - Elsevier
Non-orthogonal multiple access (NOMA) techniques have drawn much attention for massive
connectivity, heterogeneous data traffic with ultra-low latency requirements, and ultra-high …

Massive mimo detectors based on deep learning, stair matrix, and approximate matrix inversion methods

MA Albreem, KA Alnajjar, AJ Almasadeh - IEEE Access, 2023 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is an essential technology in fifth-generation
(5G) and beyond 5G (B5G) communication systems. Massive MIMO is employed to meet the …

DeepEigen-Tabu: Deep Eigen Network Assisted Probabilistic Tabu Search for Massive MIMO Detection

HY Lu, SP Azizi, SC Cheng - IEEE Transactions on Vehicular …, 2024 - ieeexplore.ieee.org
Massive multiple-input multiple-output (MIMO) is a promising technology that offers high
quality of services (QoS) for current and future communication systems. However, deploying …

Energy efficient simplified MIMO with spatial four-dimensional modulated signals

N Ugrelidze, S Shavgulidze - AEU-International Journal of Electronics and …, 2024 - Elsevier
The article represents a method of simplifying MIMO by increasing energy efficiency, where
each transmitting antenna transmits not a chosen signal, but its base signals weighted by …

Advanced Decoding Methods for Massive-MIMO Systems Employing Deep Learning

S Kumar, M Singh - 2024 Fourth International Conference on …, 2024 - ieeexplore.ieee.org
Massive Multiple Input Multiple Output (MIMO) technology has a lot of potential for meeting
wireless communication systems' growing need for large data rates. This work presents a …

Deep Learning Detection for Massive MIMO Systems

SP Azizi, SC Cheng, HY Lu - 2023 22nd International …, 2023 - ieeexplore.ieee.org
This study explores a technique for addressing detection challenges in large multiple-input
multipleoutput (MIMO) systems using deep learning (DL) and mathematical principles. The …