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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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Auteurs principaux: Seoyoung Yu, Jeong Woo Lee
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2022-12-01
Collection:Sensors
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Accès en ligne:https://www.mdpi.com/1424-8220/22/23/9459
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