Compressive sensing-based joint activity and data detection for grant-free massive IoT access

Y Mei, Z Gao, Y Wu, W Chen, J Zhang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
connectivity for billions of Internet-of-Things (IoT) devices. However, the required low-latency
massive … JADD, by making use of the sparse device activity and the prior knowledge of the …

Hierarchical MTC user activity detection and channel estimation with unknown spatial covariance

H Djelouat, MJ Sillanpää, M Leinonen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… Furthermore, we consider an MTC network with hierarchical user activity patterns following
… a sparse recovery problem. Furthermore, as the BS antennas sense the same sparse activity

Non-Bayesian activity detection, large-scale fading coefficient estimation, and unsourced random access with a massive MIMO receiver

A Fengler, S Haghighatshoar, P Jung… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we study the problem of user activity detection and large-scale fading … uplink
with a massive MIMO base station with a large number M of antennas and a large number of …

Iterative joint channel estimation, user activity tracking, and data detection for FTN-NOMA systems supporting random access

W Yuan, N Wu, Q Guo, DWK Ng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… , MTC involves a massive number of devices. Thus, massive connectivity should be supported
… To elaborate, LDS adopts sparse sequences to spread the data symbols of users over all …

Compressive sensing-based adaptive active user detection and channel estimation: Massive access meets massive MIMO

M Ke, Z Gao, Y Wu, X Gao… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… ) with massive data volumes [2]. However, reliable massive access for massive connectivity
is … The sparse signal recovery algorithms proposed in this paper are based on the family of …

Massive access for 5G and beyond

X Chen, DWK Ng, W Yu, EG Larsson… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
massive number of IoT devices. Hence, the main characteristics of massive access include
low power, massive connectivity, … The sporadic device activity and the sparse channel profiles …

Fast sparse coding networks for anomaly detection in videos

P Wu, J Liu, M Li, Y Sun, F Shen - Pattern Recognition, 2020 - Elsevier
Sparse Coding Network (FSCN) based on High-level Features. First, we propose a two-stream
neural network to … With the STFF at hand, we use a Fast Sparse Coding Network to build a …

User activity detection and channel estimation for grant-free random access in LEO satellite-enabled Internet of Things

Z Zhang, Y Li, C Huang, Q Guo, L Liu… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
massive connectivity and LEO satellites with high mobility. Confronted with the massive
connectivity … However, one crucial task for the satellite receiver, ie the joint user activity detection (…

IoT connectivity technologies and applications: A survey

J Ding, M Nemati, C Ranaweera, J Choi - IEEE Access, 2020 - ieeexplore.ieee.org
… We elaborate on their abilities of enabling massive connectivity and also discuss their limitations
… In this appendix, we briefly discuss the sparse signal recovery in the context of CS and …

UrbanMotion: Visual analysis of metropolitan-scale sparse trajectories

L Shi, C Huang, M Liu, J Yan, T Jiang… - … on Visualization and …, 2020 - ieeexplore.ieee.org
… In this article, we study a big mobile location dataset that covers millions of city residents,
but is temporally sparse on the trajectory of individual user. Mapping sparse trajectories to …