Improved grant-free access for URLLC via multi-tier-driven computing: Network-load learning, prediction, and resource allocation

Z Zhao, Q Du, GK Karagiannidis - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
Grant-Free (GF) access has been recognized as a promising candidate for Ultra-Reliable
and Low-Latency Communications (URLLC). However, even with GF access, URLLC still …

A decoupled learning strategy for massive access optimization in cellular IoT networks

N Jiang, Y Deng, A Nallanathan… - IEEE Journal on Selected …, 2020 - ieeexplore.ieee.org
Cellular-based networks are expected to offer connectivity for massive Internet of Things
(mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from …

Deep reinforcement learning-based access class barring for energy-efficient mMTC random access in LTE networks

ATH Bui, AT Pham - IEEE Access, 2020 - ieeexplore.ieee.org
Long-Term Evolution (LTE) networks are expected to be a key enabler for the massive
Machine-Type Communications (mMTC) service in the 5G context. As highly synchronized …

PPO-based PDACB traffic control scheme for massive IoV communications

H Zhang, M Jiang, X Liu, X Wen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Traffic control is regarded as a key issue to alleviate congestion in internet of vehicles (IoV)
machine-type communications (MTC). Recently, many traffic control schemes have been …

A comprehensive distributed queue-based random access framework for mMTC in LTE/LTE-A networks with mixed-type traffic

ATH Bui, CT Nguyen, TC Thang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Thanks to their ubiquitous coverage, Long-Term Evolution (LTE) networks are considered
the most potential enabler for massive Machine-Type Communications (mMTC) service in …

[PDF][PDF] Random Access for Machine‐Type Communications

I Leyva‐Mayorga, C Stefanovic… - Wiley 5G Ref: The …, 2019 - personales.upv.es
The 3rd Generation Partnership Project (3GPP) has recently concluded the first phase of 5G
standardization. 5G promises versatile support of heterogenous services with different …

Deep reinforcement learning mechanism for dynamic access control in wireless networks handling mMTC

D Pacheco-Paramo, L Tello-Oquendo, V Pla… - Ad Hoc Networks, 2019 - Elsevier
One important issue that needs to be addressed in order to provide effective massive
deployments of IoT devices is access control. In 5G cellular networks, the Access Class …

Network size estimation for direct-to-satellite iot

PI Parra, S Montejo-Sánchez, JA Fraire… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The worldwide adoption of the Internet of Things (IoT) depends on the massive deployment
of sensor nodes and timely data collection. However, installing the required ground …

Delay-aware dynamic access control for mMTC in wireless networks using deep reinforcement learning

D Pacheco-Paramo, L Tello-Oquendo - Computer Networks, 2020 - Elsevier
The success of the applications based on the Internet of Things (IoT) relies heavily on the
ability to process large amounts of data with different Quality-of-Service (QoS) requirements …

Enhanced random access for massive-machine-type communications

BH Lee, HS Lee, S Moon… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
In this article, we study a random access (RA) scheme to alleviate the RA channel (RACH)
overload problem in the massive-machine-type communication (mMTC) environment. We …