Energy-Efficient Joint Resource Allocation in 5g Hetnet Using Multi-Agent Parameterized Deep Reinforcement Learning

Author:

Mughees Amna,Tahir Mohammad,Sheikh Muhammad Aman,Amphawan Angela,Meng Yap Kian,Ahad Abdul,Chamran Kazem

Publisher

Elsevier BV

Reference25 articles.

1. The frontiers of deep reinforcement learning for resource management in future wireless hetnets: Techniques, challenges, and research directions;A Alwarafy;IEEE Open Journal of the Communications Society,2022

2. A machine learning approach for power allocation in hetnets considering qos;R Amiri;En: 2018 IEEE international conference on communications (ICC),2018

3. The energy efficiency of heterogeneous cellular networks based on the poisson hole process;Y Chen;Future Internet,2023

4. Energy-constrained modulation optimization;S Cui;IEEE transactions on wireless communications,2005

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