Stein variational gradient descent-based detection for random access with preambles in mtc

X Zhu, H Pan, S Atici, AE Cetin - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Traditional preamble detection algorithms have low accuracy in the grant-based random
access scheme in massive machine-type communication (mMTC). We present a novel …

[HTML][HTML] Advancing 6G IoT networks: Willow Catkin packet transmission scheduling with AI and Bayesian game-theoretic approach-based resource allocation.

AMA Ibrahim, Z Chen, HA Eljailany, G Yu, AA Ipaye… - Internet of Things, 2024 - Elsevier
The rapid expansion of mobile broadband networks and the proliferation of Internet of
Things (IoT) applications have substantially increased data transmission and processing …

The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Massive Random Access

X Zhu, AE Cetin - arXiv preprint arXiv:2403.18846, 2024 - arxiv.org
The lack of an efficient preamble detection algorithm remains a challenge for solving
preamble collision problems in intelligent massive random access (RA) in practical …

The Interplay between Computation and Communication

A Salari - 2023 - ses.library.usyd.edu.au
In this thesis, a comprehensive exploration into the integration of communication and
learning within the massive Internet of Things (mIoT) is undertaken. Addressing one of the …