A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning

C She, C Sun, Z Gu, Y Li, C Yang… - Proceedings of the …, 2021 - ieeexplore.ieee.org
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …

An approach to transmitting urllc data with different latency requirements over embb services based on deep reinforcement learning

X Zhu, J Wang, J Li, H Lu, X Luo… - 2021 7th International …, 2021 - ieeexplore.ieee.org
For different quality of service (QoS), the coexistence of enhancement of mobile broadband
(eMBB) and ultra-reliable low-latency communications (URLLC) on the same radio spectrum …

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

AT Nassar, Y Yilmaz - arXiv preprint arXiv:1806.04582, 2018 - arxiv.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 …

Experienced deep reinforcement learning with generative adversarial networks (GANs) for model-free ultra reliable low latency communication

ATZ Kasgari, W Saad, M Mozaffari… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In this paper, a novel experienced deep reinforcement learning (deep-RL) framework is
proposed to provide model-free resource allocation for ultra reliable low latency …

Resource allocation in URLLC with online learning for mobile users

J Zhang, C Sun, C Yang - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
Neural networks (NNs) have been applied to solve various problems in ultra-reliable and
low-latency communications (URLLC). Facing the stringent quality of service requirement …

Radio resource allocation and retransmission schemes for URLLC over 5G networks

SE Elayoubi, P Brown, M Deghel… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Low latency targets for ultra-reliable low latency communications (URLLC) may be
conflicting with their stringent reliability requirements due to the need for re-transmissions …

Distributed Learning for 6G–IoT Networks: A Comprehensive Survey

SK Das, R Mudi, MS Rahman, AO Fapojuwo - Authorea Preprints, 2023 - techrxiv.org
Smart services based on the Internet of Things (IoT) are likely to grow in popularity in the
forthcoming years, necessitating the improvement of fifth-generation (5G) cellular networks …

Periodic radio resource allocation to meet latency and reliability requirements in 5G networks

Y Han, SE Elayoubi, A Galindo-Serrano… - 2018 IEEE 87th …, 2018 - ieeexplore.ieee.org
Ultra-Reliable and Low Latency Communications (URLLC) is a challenging class of services
to be supported by the fifth generation of mobile networks (5G). Among the URLLC services …

Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic

F Saggese, L Pasqualini, M Moretti… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very
relevant research issue is how to manage the coexistence of different types of traffic, each …

Radio resource and traffic management for ultra-reliable low latency communications

E Khorov, A Krasilov, A Malyshev - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Ultra-Reliable Low Latency Communications (URLLC) is an important feature of 5G
networks which cannot be enabled without redesigning the architecture of cellular networks …