Model-based deep learning for joint activity detection and channel estimation in massive and sporadic connectivity
J Johnston, X Wang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
We present two model-based neural network architectures purposed for sporadic user
detection and channel estimation in massive machine-type communications. In the scenario …
detection and channel estimation in massive machine-type communications. In the scenario …
Algorithm unrolling for massive access via deep neural networks with theoretical guarantee
Massive access is a critical design challenge of Internet of Things (IoT) networks. In this
paper, we consider the grant-free uplink transmission of an IoT network with a multiple …
paper, we consider the grant-free uplink transmission of an IoT network with a multiple …
Deep learning-based activity detection for grant-free random access
JHI de Souza, T Abrão - IEEE Systems Journal, 2022 - ieeexplore.ieee.org
The cellular Internet of Things wireless network is a promising solution to provide massive
connectivity for machine-type devices. However, designing grant-free random access (GF …
connectivity for machine-type devices. However, designing grant-free random access (GF …
Sparse group principal component analysis using elastic-net regularisation and its application to virtual metrology in semiconductor manufacturing
Principal component analysis (PCA) is a widely used statistical technique for dimensionality
reduction, extracting a low-dimensional subspace in which the variance is maximised (or the …
reduction, extracting a low-dimensional subspace in which the variance is maximised (or the …
Deep Learning‐Enabled Massive Access
Y Cui, B Tan, W Liu, W Jiang - Next Generation Multiple Access, 2024 - Wiley Online Library
This chapter investigates deep learning‐enabled massive grant‐free access for supporting
massive machine‐type communications (mMTC) for the Internet of Things (IoT). First …
massive machine‐type communications (mMTC) for the Internet of Things (IoT). First …
Generalized exponentiation using STT magnetic tunnel junctions: Circuit design, performance, and application to neural network gradient decay
A Tatulian, RF DeMara - SN Computer Science, 2022 - Springer
While nonlinear functions such as square and square root are critical for fields such as
signal processing and machine learning, computation of these functions presents …
signal processing and machine learning, computation of these functions presents …
Learning proximal operator methods for massive connectivity in IoT networks
Grant-free random access has the potential to sup-port massive connectivity in Internet of
Things (IoT) networks, where joint activity detection and channel estimation (JADCE) is a …
Things (IoT) networks, where joint activity detection and channel estimation (JADCE) is a …
Leveraging Signal Transfer Characteristics and Parasitics of Spintronic Circuits for Area and Energy-Optimized Hybrid Digital and Analog Arithmetic
A Tatulian - 2023 - stars.library.ucf.edu
Abstract While Internet of Things (IoT) sensors offer numerous benefits in diverse
applications, they are limited by stringent constraints in energy, processing area and …
applications, they are limited by stringent constraints in energy, processing area and …
Sparsity-Based Channel Estimation Exploiting Deep Unrolling for Downlink Massive MIMO
Massive multiple-input multiple-output (MIMO) enjoys great advantage in 5G wireless
communication systems owing to its spectrum and energy efficiency. However, hundreds of …
communication systems owing to its spectrum and energy efficiency. However, hundreds of …
Gan-Based Joint Activity Detection and Channel Estimation for Grant-Free Random Access
Joint activity detection and channel estimation (JADCE) for grant-free random access is a
critical issue that needs to be addressed to support massive connectivity in IoT networks …
critical issue that needs to be addressed to support massive connectivity in IoT networks …