Model-driven deep learning-based MIMO-OFDM detector: Design, simulation, and experimental results

X Zhou, J Zhang, CW Syu, CK Wen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), a
fundamental transmission scheme, promises high throughput and robustness against …

A systematic literature review on channel estimation in MIMO-OFDM system: Performance analysis and future direction

BMR Manasa, P Venugopal - Journal of Optical Communications, 2024 - degruyter.com
Abstract Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-
OFDM) is a familiar modern wireless broadband technology due to its resistance against …

Model-driven deep learning-based signal detector for CP-free MIMO-OFDM systems

X Zhou, J Zhang, CK Wen, J Zhang… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
The absence of cyclic prefix (CP) can increase the spectral efficiency of multiple-input
multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems …

Intersymbol and intercarrier interference in OFDM transmissions through highly dispersive channels

WA Martins, F Cruz–Roldán, M Moonen… - 2019 27th European …, 2019 - ieeexplore.ieee.org
This work quantifies intersymbol and intercarrier interference induced by very dispersive
channels in OFDM systems. The resulting achievable data rate for suboptimal OFDM …

Avenues to improve channel estimation using optimized CP in STBC coded MIMO-OFDM systems—a global optimization approach

S Nandi, NN Pathak, A Nandi - Proceeding of Fifth International …, 2021 - Springer
A new semi-blind channel estimation with optimized Cyclic Prefix (CP) assisted Space Time
Block Coded Multi-Input Multi-Output Orthogonal Frequency Division Multiplexing (STBC …

Multilevel Redundant Discrete Wavelet Transform (ML-RDWT) and optimal Red Deer algorithm (ORDA) centred approach to mitigate the effect of ICI, BER and CIR in …

K Nagarajan, S Sophia - Wireless Personal Communications, 2022 - Springer
Nowadays, there is a great demand for ultra-high data rate (UHDR) transmission on most
5th generation wireless networks. In this concern, the multiple-input multiple-output …

A signal detection scheme based on deep learning in OFDM systems

G Pan, Z Liu, W Wang, M Li - 2021 IEEE 32nd Annual …, 2021 - ieeexplore.ieee.org
Channel estimation and signal detection are essential steps to ensure the quality of end-to-
end communication in orthogonal frequency-division multiplexing (OFDM) systems. In this …

[PDF][PDF] Efficacy of channel estimation and efficient use of spectrum using optimised cyclic prefix (CP) in MIMO-OFDM

S Nandi, NN Pathak, A Nandi - IJEAT, 2019 - academia.edu
The performance of MIMO-OFDM network gets affected due to problems in the channel
estimation which is essential for designing receivers. The issues in MIMO are due to sizable …

Deep learning based equalizer for MIMO-OFDM systems with insufficient cyclic prefix

Y Sun, C Wang, H Cai, C Zhao, Y Wu… - 2020 IEEE 92nd …, 2020 - ieeexplore.ieee.org
In this paper, we study the equalization design for multiple-input multiple-output (MIMO)
orthogonal frequency division multiplexing (OFDM) systems with insufficient cyclic prefix …

Intersymbol and intercarrier interference in OFDM systems: Unified formulation and analysis

F Cruz-Roldán, WA Martins, M Moonen… - arXiv preprint arXiv …, 2020 - arxiv.org
A unified matrix formulation is presented for the analysis of intersymbol and intercarrier
interference in orthogonal frequency-division multiplexing (OFDM) systems. The proposed …