Resource Allocation in Multi-Cell Networks: A Deep Reinforcement Learning Approach
Author:
Affiliation:
1. Hankuk University of Foreign Studies (HUFS),Dept. of Information and Communications Engineering,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10391854/10391860/10393199.pdf?arnumber=10393199
Reference11 articles.
1. Reinforcement Learning for Radio Resource Management in RAN Slicing: A Survey
2. Deep Learning for Radio Resource Allocation in Multi-Cell Networks
3. Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges
4. Deep Reinforcement Learning: A Brief Survey
5. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks
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