Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making
ABSTRACT A symbiotic simulation system (S3) enables interactions between a physical
system and its computational model representation. To support operational decisions, an S3 …
system and its computational model representation. To support operational decisions, an S3 …
Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey
N Ye, S Miao, J Pan, Q Ouyang, X Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has become a promising solution for meeting the stringent
performance requirements on wireless physical layer in sixth-generation (6G) …
performance requirements on wireless physical layer in sixth-generation (6G) …
Deep learning-aided dynamic read thresholds design for multi-level-cell flash memories
Z Mei, K Cai, X He - IEEE Transactions on Communications, 2020 - ieeexplore.ieee.org
The practical NAND flash memory suffers from various non-stationary noises that are difficult
to be predicted. For example, the data retention noise induced channel offset is unknown …
to be predicted. For example, the data retention noise induced channel offset is unknown …
A survey on deep learning-based vehicular communication applications
Besides the use of information transmission, vehicular communications also perform an
essential role in intelligent transportation systems (ITS) for exchanging critical driving …
essential role in intelligent transportation systems (ITS) for exchanging critical driving …
End-to-end PSK signals demodulation using convolutional neural network
WJ Chen, J Wang, JQ Li - IEEE Access, 2022 - ieeexplore.ieee.org
Demodulation techniques are of central importance for achieving intelligent receiving.
Improvement in demodulation performance enhances the overall performance of a …
Improvement in demodulation performance enhances the overall performance of a …
Fine-grained recognition of error correcting codes based on 1-D convolutional neural network
J Wang, J Li, H Huang, H Wang - Digital Signal Processing, 2020 - Elsevier
Forward error correction (FEC) codes are the most commonly used method in channel
coding, and it is capable of automatically detecting and correcting errors at the receiving end …
coding, and it is capable of automatically detecting and correcting errors at the receiving end …
A new transceiver design for protograph LDPC-coded LACO-OFDM VLC systems with deep learning
As a spectral-efficient and transmission-reliable technique, channel coded layered
asymmetrically clipped optical orthogonal frequency-division multiplexing (LACO-OFDM) …
asymmetrically clipped optical orthogonal frequency-division multiplexing (LACO-OFDM) …
Joint channel coding and modulation via deep learning
Channel coding and modulation are two fundamental building blocks of physical layer
wireless communications. We propose a neural network based end-to-end communication …
wireless communications. We propose a neural network based end-to-end communication …
Receiver design for faster-than-Nyquist signaling: Deep-learning-based architectures
Faster-than-Nyquist (FTN) is a promising paradigm to improve bandwidth utilization at the
expense of additional intersymbol interference (ISI). In this paper, we apply state-of-the-art …
expense of additional intersymbol interference (ISI). In this paper, we apply state-of-the-art …
Modulation code and multilayer perceptron decoding for bit-patterned media recording
S Jeong, J Lee - IEEE Magnetics Letters, 2020 - ieeexplore.ieee.org
In a bit-patterned media recording (BPMR) system, reducing the spacing between adjacent
bit islands in the down-and cross-track directions increases areal density; however, two …
bit islands in the down-and cross-track directions increases areal density; however, two …