Predictive pre-allocation for low-latency uplink access in industrial wireless networks

M Li, X Guan, C Hua, C Chen… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
Driven by mission-critical applications in modern industrial systems, the 5th generation (5G)
communication system is expected to provide ultra-reliable low-latency communications …

A learning-based pre-allocation scheme for low-latency access in industrial wireless networks

M Li, C Chen, C Hua, X Guan - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
To promote the revolution of Industrial Internet of Things, the next generation communication
system is expected to provide latency critical services in industry. However, for the traditional …

Preemption-aware rank offloading scheduling for latency critical communications in 5G networks

AA Esswie, KI Pedersen… - 2019 IEEE 89th Vehicular …, 2019 - ieeexplore.ieee.org
This paper introduces a preemptive rank offloading scheduling framework for joint ultra-
reliable low-latency communications (URLLC) and enhanced mobile broadband (eMBB) …

Performance evaluation of latency for NB-LTE networks in industrial automation

KA Nsiah, Z Amjad, A Sikora… - 2019 IEEE 30th Annual …, 2019 - ieeexplore.ieee.org
Low latency communication is essential to enable mission-critical machine-type
communication (mMTC) use cases in cellular networks. Factory and process automation are …

A predictive semi-persistent scheduling scheme for low-latency applications in LTE and NR networks

Y Feng, A Nirmalathas, E Wong - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The Long Term Evolution (LTE) technology is ubiquitously implemented today and it
achieves noticeable success in fulfilling the data transmission demand instigated by the …

Distributed resource allocation for URLLC in IIoT scenarios: A multi-armed bandit approach

F Pase, M Giordani, G Cuozzo… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
This paper addresses the problem of enabling inter-machine Ultra-Reliable Low-Latency
Communication (URLLC) in future 6G Industrial Internet of Things (IIoT) networks. As far as …

Deep reinforcement learning-based multichannel access for industrial wireless networks with dynamic multiuser priority

X Liu, C Xu, H Yu, P Zeng - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
In Industry 4.0, massive heterogeneous industrial devices generate a great deal of data with
different quality of service requirements, and communicate via industrial wireless networks …

Capacity optimization of spatial preemptive scheduling for joint URLLC-eMBB traffic in 5G new radio

AA Esswie, KI Pedersen - 2018 IEEE Globecom Workshops …, 2018 - ieeexplore.ieee.org
Ultra-reliable and low-latency communication (URLLC) is envisioned as a primary service
class of the fifth generation mobile networks. URLLC applications demand stringent radio …

SAMUS: Slice-aware machine learning-based ultra-reliable scheduling

C Bektas, D Overbeck, C Wietfeld - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Multiple service types such as Ultra-Reliable Low Latency Communication (uRLLC) and
Enhanced Mobile Broadband (eMBB) are envisioned to be incorporated into the next …

Deep reinforcement learning based massive access management for ultra-reliable low-latency communications

H Yang, Z Xiong, J Zhao, D Niyato… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid deployment of the Internet of Things (IoT), fifth-generation (5G) and beyond
5G networks are required to support massive access of a huge number of devices over …