Improved grant-free access for URLLC via multi-tier-driven computing: Network-load learning, prediction, and resource allocation
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 …
and Low-Latency Communications (URLLC). However, even with GF access, URLLC still …
A decoupled learning strategy for massive access optimization in cellular IoT networks
Cellular-based networks are expected to offer connectivity for massive Internet of Things
(mIoT) systems. However, their Random Access CHannel (RACH) procedure suffers from …
(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 …
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 …
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
Thanks to their ubiquitous coverage, Long-Term Evolution (LTE) networks are considered
the most potential enabler for massive Machine-Type Communications (mMTC) service in …
the most potential enabler for massive Machine-Type Communications (mMTC) service in …
[PDF][PDF] Random Access for Machine‐Type Communications
The 3rd Generation Partnership Project (3GPP) has recently concluded the first phase of 5G
standardization. 5G promises versatile support of heterogenous services with different …
standardization. 5G promises versatile support of heterogenous services with different …
Deep reinforcement learning mechanism for dynamic access control in wireless networks handling mMTC
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 …
deployments of IoT devices is access control. In 5G cellular networks, the Access Class …
Network size estimation for direct-to-satellite iot
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 …
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
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 …
ability to process large amounts of data with different Quality-of-Service (QoS) requirements …
Enhanced random access for massive-machine-type communications
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 …
overload problem in the massive-machine-type communication (mMTC) environment. We …