Bandwidth allocation of URLLC for real-time packet traffic in B5G: A Deep-RL framework-Reference-Cited by-同舟云学术

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Bandwidth allocation of URLLC for real-time packet traffic in B5G: A Deep-RL framework

Published:2023-12 Issue: Volume: Page:
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Salh Adeeb^ORCID,Ngah Razali,Hussain Ghasan Ali^ORCID,Alhartomi Mohammed^ORCID,Boubkar Salah,Shah Nor Shahida M.^ORCID,Alsulami Ruwaybih,Alzahrani Saeed^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference18 articles.

1. Optimizing resource allocation in URLLC for real-time wireless control systems;Chang;IEEE Trans. Veh. Technol.,2019

2. URLLC-oriented joint power control and resource allocation in UAV-assisted networks;Chen;IEEE Internet Things J.,2021

3. Smart packet transmission scheduling in cognitive IoT systems: DDQN based approach;A. Salh;IEEE Access,2022

4. Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond: A deep reinforcement learning based approach;Alsenwi;IEEE Trans. Wirel. Commun.,2021

5. Experienced deep reinforcement learning with generative adversarial networks (GANs) for model-free ultra reliable low latency communication;Kasgari;IEEE Trans. Commun.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Sustainability and Latency Reduction Through Federated Learning-Powered Digital Twins in IoT Devices;2024 16th International Conference on Computer and Automation Engineering (ICCAE);2024-03-14

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