Deep Reinforcement Learning Based Resource Allocation for D2D Communications Underlay Cellular Networks

Deep Reinforcement Learning Based Resource Allocation for D2D Communications Underlay Cellular Networks

In this paper, a resource allocation (RA) scheme based on deep reinforcement learning (DRL) is designed for device-to-device (D2D) communications underlay cellular networks. The goal of RA is to determine the transmission power and spectrum channel of D2D links to maximize the sum of the average eff...

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Bibliographic Details
Main Authors: Seoyoung Yu, Jeong Woo Lee
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
device-to-device
resource allocation
deep reinforcement learning
cellular network
Online Access:https://www.mdpi.com/1424-8220/22/23/9459

Internet

https://www.mdpi.com/1424-8220/22/23/9459

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