Hybrid Learning based Radio Resource Management in 5G Heterogeneous Networks

Hybrid Learning based Radio Resource Management in 5G Heterogeneous Networks

Ultradensification using different types of small cells (SCs) is one of the key enabling solutions to meet the multiple stringent requirements of 5G cellular networks. However, radio resource management (RRM) in ultra-dense heterogeneous networks (HetNets) is not easy due to interferences in multi-...

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Bibliographic Details
Main Authors: Muhammad Usman Iqbal, Ejaz Ahmad Ansari, Saleem Akhtar, Muhammad Nadeem Rafiq, Muhammad Farooq-i-Azam, Beenish Hassan
Format: Article
Language:English
Published: The University of Lahore 2023-03-01
Series:Pakistan Journal of Engineering & Technology
Subjects:
5G
Hetrogeneous Networks
Q-Learning
Online Access:https://jucmd.pk/journals/pakjet/article/view/2393

Internet

https://jucmd.pk/journals/pakjet/article/view/2393

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