Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks

Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks

Mobile communications have experienced exponential growth both in connectivity and multimedia traffic in recent years. To support this tremendous growth, device-to-device (D2D) communications play a significant role in 5G and beyond 5G networks. However, enabling D2D communications in an underlay, h...

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Bibliographic Details
Main Authors:	Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Future Internet
Subjects:	machine learning (ML) device-to-device (D2D) resource allocation (RA) reinforcement learning (RL) Markov Decision Process (MDP) deep reinforcement learning (DRL)
Online Access:	https://www.mdpi.com/1999-5903/16/11/408
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