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 …

Decentralized spectrum learning for radio collision mitigation in ultra-dense IoT networks: LoRaWAN case study and experiments

C Moy, L Besson, G Delbarre, L Toutain - Annals of Telecommunications, 2020 - Springer
This paper describes the theoretical principles and experimental results of reinforcement
learning algorithms embedded into IoT devices (Internet of Things), in order to tackle the …

[HTML][HTML] Interference management for coexisting Internet of Things networks over unlicensed spectrum

A Azari, M Masoudi - Ad Hoc Networks, 2021 - Elsevier
The main building block of Internet of Things (IoT) ecosystem is providing low-cost scalable
connectivity for the radio/compute-constrained devices. This connectivity could be realized …

Interplay between distributed AI workflow and URLLC

M Ganjalizadeh, HS Ghadikolaei… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
Distributed artificial intelligence (AI) has recently accomplished tremendous breakthroughs
in various communication services, ranging from fault-tolerant factory automation to smart …

A context-aware radio resource management in heterogeneous virtual RANs

S Tripathi, C Puligheddu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
New-generation wireless networks are designed to support a wide range of services with
diverse key performance indicators (KPIs) requirements. A fundamental component of such …

Intelligent Resource Management for eMBB and URLLC in 5G and beyond Wireless Networks

RM Sohaib, O Onireti, Y Sambo, R Swash… - IEEE …, 2023 - ieeexplore.ieee.org
In the era of 5G and beyond wireless networks, the simultaneous support of enhanced
Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) …

Reinforcement learning-based joint power and resource allocation for URLLC in 5G

M Elsayed, M Erol-Kantarci - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
Next-generation wireless networks are moving rapidly towards supporting heterogeneous
services that bring along several challenges in radio resource allocation. In this paper, we …

Analysis of a contention-based approach over 5G NR for Federated Learning in an Industrial Internet of Things scenario

G Cuozzo, J Pettersson, M Condoluci - IEEE Access, 2023 - ieeexplore.ieee.org
The growing interest in new applications involving co-located heterogeneous requirements,
such as the Industrial Internet of Things (IIoT) paradigm, poses unprecedented challenges to …

On the capacity of 5G NR grant-free scheduling with shared radio resources to support ultra-reliable and low-latency communications

MC Lucas-Estañ, J Gozalvez, M Sepulcre - Sensors, 2019 - mdpi.com
5G and beyond networks are being designed to support the future digital society, where
numerous sensors, machinery, vehicles and humans will be connected in the so-called …

Upper-confidence bound for channel selection in LPWA networks with retransmissions

R Bonnefoi, L Besson… - 2019 IEEE Wireless …, 2019 - ieeexplore.ieee.org
In this paper, we propose and evaluate different learning strategies based on Multi-Arm
Bandit (MAB) algorithms. They allow Internet of Things (IoT) devices to improve their access …