Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network-Reference-Cited by-同舟云学术

Intelligent Resource Management Using Multiagent Double Deep Q-Networks to Guarantee Strict Reliability and Low Latency in IoT Network

Published:2022 Issue: Volume:3 Page:2245-2257
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Salh Adeb¹^ORCID,Ngah Razali¹,Hussain Ghasan Ali²^ORCID,Audah Lukman³^ORCID,Alhartomi Mohammed⁴^ORCID,Abdullah Qazwan³^ORCID,Alsulami Ruwaybih⁵^ORCID,Alzahrani Saeed⁴^ORCID,Alzahmi Ahmed⁴

Affiliation:

1. Wireless Communication Centre, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

2. Department of Electrical Engineering, Faculty of Engineering, University of Kufa, Kufa, Iraq

3. Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, Malaysia

4. Department of Electrical Engineering, University of Tabuk, Tabuk, Saudi Arabia

5. Department of Electrical Engineering, Umm Al-Qura University Makkah, Mecca, Saudi Arabia

Funder

Ministry of Higher Education (MOHE) Malaysia

Universiti Teknologi Malaysia

Deanship of Scientific Research, University of Tabuk

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/8782661/9702748/09956005.pdf?arnumber=9956005

Reference41 articles.

1. Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination

2. Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning

3. Outage Analysis of Cooperative Transmission with Energy Harvesting Relay: Time Switching versus Power Splitting

4. Wireless Information and Power Transfer: Energy Efficiency Optimization in OFDMA Systems

5. Energy-Efficient SWIPT in IoT Distributed Antenna Systems

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