Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels

G Ma, X Jiao, J Mu, H Han… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Marker code is an effective coding scheme to protect data from insertions and deletions. It
has potential applications in future storage systems, such as DNA storage and racetrack …

Deep learning for wireless physical layer: Opportunities and challenges

T Wang, CK Wen, H Wang, F Gao… - China …, 2017 - ieeexplore.ieee.org
Machine learning (ML) has been widely applied to the upper layers of wireless
communication systems for various purposes, such as deployment of cognitive radio and …

Transfer learning for wireless networks: A comprehensive survey

CT Nguyen, N Van Huynh, NH Chu… - Proceedings of the …, 2022 - ieeexplore.ieee.org
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Code-aided channel tracking and decoding over sparse fast-fading multipath channels with an application to train backbone networks

S Khalili, J Feng, O Simeone, J Tang… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
In a fast-fading environment, eg, high-speed railway communications, channel estimation
and tracking require the availability of a number of pilot symbols that is at least as large as …

Jointly sparse signal recovery and support recovery via deep learning with applications in MIMO-based grant-free random access

Y Cui, S Li, W Zhang - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
In this article, we investigate jointly sparse signal recovery and jointly sparse support
recovery in Multiple Measurement Vector (MMV) models for complex signals, which arise in …

[PDF][PDF] Frequency-domain block signal detection with QRM-MLD for training sequence-aided single-carrier transmission

T Yamamoto, K Takeda, F Adachi - EURASIP Journal on Advances in …, 2011 - Springer
A frequency-domain block signal detection (FDBD) using QR decomposition with M-
algorithm maximum likelihood detection (QRM-MLD) can significantly improve the bit error …

Packet structure and receiver design for low latency wireless communications with ultra-short packets

B Lee, S Park, DJ Love, H Ji… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Fifth generation wireless standards require much lower latency than what current wireless
systems can guarantee. The main challenge in fulfilling these requirements is the …

Reduced-rank channel estimation for time-slotted mobile communication systems

M Nicoli, U Spagnolini - IEEE transactions on signal processing, 2005 - ieeexplore.ieee.org
In time-slotted mobile communication systems with antenna array at the receiver, the space-
time channel matrix is conventionally estimated by transmitting pilot symbols within each …

Machine learning based channel estimation for 5G NR-V2V communications: Sparse bayesian learning and Gaussian progress regression

Y Liao, X Li, Z Cai - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
In intelligent transportation systems (ITS), 5G NR-V2V communication is adopted to expand
the connectivity and coverage of ITS applications, where the data needs to be processed …

SigMixer: Lightweight Automatic Modulation Classification via Multi-Layer Perceptrons Neural Network

J Wang, C Wang, H Zhang, W Zhang… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Automatic modulation recognition (AMR) plays a vital role in non-cooperative
communication systems, which is an important technological component of blind signal …