DRL-Based URLLC-Constraint and Energy-Efficient Task Offloading for Internet of Health Things
Author:
Affiliation:
1. Center for Applied Mathematics, Tianjin University, Tianjin, China
2. Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, India
3. NORCE Norwegian Research Center Oslo, Norway
Funder
National Natural Science Foundation of China
Tianjin Science
Technology Planning Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics
Link
http://xplorestaging.ieee.org/ielx7/6221020/6363502/10192277.pdf?arnumber=10192277
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3. On Automated Object Grasping for Intelligent Prosthetic Hands Using Machine Learning;Bioengineering;2024-01-24
4. Subcarrier power control for URLLC communication system via multi-agent deep reinforcement learning in IoT network;International Journal of Communication Networks and Distributed Systems;2024
5. Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks;IEEE Open Journal of the Communications Society;2024
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