FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network

Author:

Mohammed Abegaz1,Abishu Hayla Nahom2,Albaseer Abdullatif1,Erbad Aiman1,Abdallah Mohammed1,Guizani Mohsen3

Affiliation:

1. College of Science and Engineering, Hamad Bin Khalifa University,Division of Information and Computing Technology,Doha,Qatar

2. University of Electronic Science and Technology of China,School of Computer Science and Engineering,Chengdu

3. Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI),Abu Dhabi,UAE

Funder

Qatar National Research Fund

Publisher

IEEE

Reference16 articles.

1. Multiagent drl for task offloading and resource allocation in multi-uav enabled iot edge network;seid;IEEE Transactions on Network and Service Management,2021

2. Optimal LAP Altitude for Maximum Coverage

3. Collaborative Computation Offloading and Resource Allocation in Multi-UAV-Assisted IoT Networks: A Deep Reinforcement Learning Approach

4. Continuous control with deep reinforcement learning;lillicrap;ArXiv Preprint,2015

5. Sustainability of healthcare data analysis iot-based systems using deep federated learning;elayan;IEEE Internet of Things Journal,2021

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