Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets

Author:

Alwarafy Abdulmalik1ORCID,Ciftler Bekir Sait1,Abdallah Mohamed1ORCID,Hamdi Mounir1ORCID,Al-Dhahir Naofal2ORCID

Affiliation:

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

2. Electrical and Computer Engineering Department, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, Richardson, USA

Funder

NPRP-Standard(NPRP-S) Thirteenth Cycle

Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Reference33 articles.

1. CVXPY: A python-embedded modeling language for convex optimization;diamond;J Mach Learn Res,2016

2. Adam: A method for stochastic optimization;kingma,2014

3. Continuous control with deep reinforcement learning;lillicrap,2015

4. Optimal Resource Allocation for Multi-Access in Heterogeneous Wireless Networks

5. A deep reinforcement learning for user association and power control in heterogeneous networks

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