Fog-RAN enabled multi-connectivity and multi-cell scheduling framework for ultra-reliable low latency communication

B Kharel, OLA López, NH Mahmood, H Alves… - IEEE …, 2022 - ieeexplore.ieee.org
Ultra-Reliable Low Latency Communication (URLLC) is a newly introduced service class
targeting emerging Internet-of-Things (IoT) application scenarios. This paper assumes an …

Centralized joint cell selection and scheduling for improved URLLC performance

A Karimi, KI Pedersen, NH Mahmood… - 2018 IEEE 29th …, 2018 - ieeexplore.ieee.org
A centralized joint cell selection and scheduling policy for ultra-reliable low latency
communication (URLLC) is studied in this paper for the 5G new radio (NR). A low complexity …

Research on Reliable Low-Power Wide-Area Communications Utilizing Multi-RAT LPWAN Technologies for IoT Applications

M Stusek - 2021 - trepo.tuni.fi
This doctoral thesis addresses the “Research on Reliable Low-Power Wide-Area
Communications Utilizing Multi-RAT LPWAN Technologies for IoT Applications”. Despite the …

Medium access using distributed reinforcement learning for IoTs with low-complexity wireless transceivers

H Dutta, S Biswas - 2021 IEEE 7th World Forum on Internet of …, 2021 - ieeexplore.ieee.org
This paper proposes a distributed Reinforcement Learning (RL) based framework that can
be used for synthesizing MAC layer wireless protocols in IoT networks with low-complexity …

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 …

Novel adaptive transmission scheme for effective URLLC support in 5G NR: A model-based reinforcement learning solution

NS Saatchi, HC Yang, YC Liang - IEEE Wireless …, 2022 - ieeexplore.ieee.org
Future industrial Internet of Things (IIoT) applications demand trustworthy ultra-reliable and
low-latency communications (URLLC) service. In this letter, we jointly design available …

Low latency radio access in 3GPP local area data networks for V2X: Stochastic optimization and learning

SY Lien, SC Hung, DJ Deng, CL Lai… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The next generation vehicular applications substantially shifting the paradigm of human
activity have been projected to empower intelligent transportation systems. Targeting at …

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 …

Reinforcement learning for adaptive resource allocation in fog RAN for IoT with heterogeneous latency requirements

A Nassar, Y Yilmaz - IEEE Access, 2019 - ieeexplore.ieee.org
In light of the quick proliferation of Internet of things (IoT) devices and applications, fog radio
access network (Fog-RAN) has been recently proposed for fifth generation (5G) wireless …

Learn2MAC: Online learning multiple access for URLLC applications

A Destounis, D Tsilimantos, M Debbah… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
This paper addresses a fundamental limitation of previous random access protocols, their
lack of latency performance guarantees. We consider K IoT transmitters competing for uplink …