Blockchain-Empowered Resource Allocation in Multi-UAV-Enabled 5G-RAN: A Multi-Agent Deep Reinforcement Learning Approach

Author:

Mohammed Seid Abegaz1ORCID,Erbad Aiman1ORCID,Abishu Hayla Nahom2ORCID,Albaseer Abdullatif1ORCID,Abdallah Mohamed1ORCID,Guizani Mohsen3ORCID

Affiliation:

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

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

3. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

Funder

NPRPStandard (NPRP-S) Thirteen (13th) Cycle

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture

Reference60 articles.

1. Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network

2. Survey of Nash and Stackelberg equilibrim strategies in dynamic games;cruz;Ann Econ Social Meas,1975

3. Deep Reinforcement Learning for Mobile 5G and Beyond: Fundamentals, Applications, and Challenges

4. Solving structured hierarchical games using differential backward induction;li;arXiv 2106 04663,2021

5. Reinforcement Learning-Based Joint Power and Resource Allocation for URLLC in 5G

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