[HTML][HTML] Towards artificial intelligence-aided mimo detection for 6g communication systems: a review of current trends, challenges and future directions
In recent times, artificial intelligence (AI) has gained considerable attention as a highly
promising technology for enhancing the performance of multiple-input multiple-output …
promising technology for enhancing the performance of multiple-input multiple-output …
A novel sum-product detection algorithm for faster-than-Nyquist signaling: A deep learning approach
A deep learning assisted sum-product detection algorithm (DL-SPDA) for faster-than-Nyquist
(FTN) signaling is proposed in this paper. The proposed detection algorithm works on a …
(FTN) signaling is proposed in this paper. The proposed detection algorithm works on a …
A MIMO Detector With Deep-Neural-Network for Faster-Than-Nyquist Optical Wireless Communications
M Cao, R Yao, Q Sun, Y Zhang, Q Yang… - IEEE Photonics …, 2024 - ieeexplore.ieee.org
Conventional multiple input multiple output (MIMO) detection algorithms face challenges
related to computational complexity and limited performance when handling high …
related to computational complexity and limited performance when handling high …
MIMO Detection Algorithms–Deep Learning Based and Traditional Methods
SN Karahan, A Kalaycıoğlu… - … Conference on Electrical …, 2022 - ieeexplore.ieee.org
Applications of deep learning have not been adequately studied in communication systems,
though it is a tremendously popular approach in many other fields. This study focuses on the …
though it is a tremendously popular approach in many other fields. This study focuses on the …
[PDF][PDF] e-Prime-Advances in Electrical Engineering, Electronics and Energy
In recent times, artificial intelligence (AI) has gained considerable attention as a highly
promising technology for enhancing the performance of multiple-input multiple-output …
promising technology for enhancing the performance of multiple-input multiple-output …