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 …

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 …

Intelligent Resource Allocation for Grant-Free Access: A Reinforcement Learning Approach

M Elsayem, H Abou-Zeid, A Afana… - IEEE Networking …, 2023 - ieeexplore.ieee.org
Future wireless networks will support applications demanding high data-rates, ultra-low
latency, and high reliabilities. One technology for such ultra-reliable low latency …

[HTML][HTML] Optimum ultra-reliable and low latency communications in 5G new radio

SY Lien, SC Hung, DJ Deng, YJ Wang - Mobile Networks and Applications, 2018 - Springer
To satisfactorily gratify the scope of International Mobile Telecommunications 2020 (IMT-
2020), 3GPP has launched the standardization activity of the fifth generation (5G) New …

Machine learning for 6G enhanced ultra-reliable and low-latency services

Y Liu, Y Deng, A Nallanathan… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Ultra-reliable and low-latency communications (URLLC), as one of the major communication
services of the fifth-generation (5G) and the sixth-generation (6G) cellular networks, is critical …

Risk-aware resource allocation for URLLC: Challenges and strategies with machine learning

A Azari, M Ozger, C Cavdar - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
Supporting ultra-reliable low-latency communications (URLLC) is a major challenge of 5G
wireless networks. Stringent delay and reliability requirements need to be satisfied for both …

Enabling URLLC in 5G NR IIoT networks: A full-stack end-to-end analysis

G Cuozzo, S Cavallero, F Pase… - 2022 Joint European …, 2022 - ieeexplore.ieee.org
This paper addresses the problem of enabling inter-machine ultra-reliable low-latency
communication (URLLC) in 5th generation (5G) NR Industrial Internet of Things (IIoT) …

Multi-Agent Multi-Armed Bandit Learning for Grant-Free Access in Ultra-Dense IoT Networks

MA Raza, M Abolhasan, J Lipman… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Meeting the diverse quality-of-service (QoS) requirements in ultra-dense Internet of Things
(IoT) networks operating under varying network loads is challenging. Moreover, latency …

Multi-agent deep reinforcement learning based resource allocation for ultra-reliable low-latency internet of controllable things

Y Xiao, Y Song, J Liu - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
As a promising technology in the 5G era, the artificial intelligence (AI) enabled Internet of
controllable things (IoCT) is expected to be an integral part of heterogeneous networks …

Statistical learning-based adaptive network access for the industrial Internet-of-Things

MA Raza, M Abolhasan, J Lipman… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) applications generate data in varying amounts with diverse
quality of service requirements. The adaptive network access approach and distributed …