Joint channel and multi-user detection empowered with machine learning

MS Daoud, A Fatima, WA Khan, MA Khan, S Abbas… - 2021 - digitallibrary.aau.ac.ae
The numbers of multimedia applications and their users increase with each passing day.
Different multi-carrier systems have been developed along with varying techniques of space …

Hybrid AE and Bi-LSTM-aided sparse multipath channel estimation in OFDM systems

V Kondepogu, B Bhattacharyya - IEEE Access, 2024 - ieeexplore.ieee.org
OFDM is a powerful modulation technique that efficiently transmits high-speed digital data
over frequency-selective fading channels. It divides the signal into multiple subcarriers, each …

Co-Channel Multi-User Modulation Classification Using Data-Driven Blind Signal Separation

W Deng, X Wang, Z Huang - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Automatic modulation classification (AMC) aims to identify the modulation type of received
signals, playing a crucial role in ensuring secure dynamic spectrum access in the Cognitive …

Signal processing-based deep learning for blind symbol decoding and modulation classification

S Hanna, C Dick, D Cabric - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
Blindly decoding a signal requires estimating its unknown transmit parameters,
compensating for the wireless channel impairments, and identifying the modulation type …

Automatic modulation classification of overlapped sources using multiple cumulants

S Huang, Y Yao, Z Wei, Z Feng… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Automatic modulation classification (AMC) for overlapped sources plays an important role in
spectrum monitoring and signal interception. In this paper, we propose a feature-based AMC …

MOCZ for blind short-packet communication: Practical aspects

P Walk, P Jung, B Hassibi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We investigate practical aspects of a recently introduced blind (noncoherent) communication
scheme, called modulation on conjugate-reciprocal zeros (MOCZ). MOCZ is suitable for a …

A supervised-learning detector for multihop distributed reception systems

S Kim, SN Hong - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
We consider a multihop distributed uplink reception system in which K users transmit
independent messages to one data center of N r≥ K receive antennas, with the aid of …

A survey of modulation classification using deep learning: Signal representation and data preprocessing

S Peng, S Sun, YD Yao - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …

Graph-based soft channel and data estimation for MIMO systems with asymmetric LDPC codes

T Wo, C Liu, PA Hoeher - 2008 IEEE International Conference …, 2008 - ieeexplore.ieee.org
In this paper, we propose an iterative soft channel estimation and data detection algorithm
based on a factor graph. Channel coefficients as well as data symbols are treated as …

Imprecise deep Forest for partial label learning

J Gao, W Lin, K Liu, Q Hong, G Lin, B Wang - IEEE Access, 2020 - ieeexplore.ieee.org
In partial label (PL) learning, each instance corresponds to a set of candidate labels, among
which only one is valid. The objective of PL learning is to obtain a multi-class classifier from …