Deep reinforcement learning-based resource allocation and fairness of aerial UAV base stations

In order to improve the data rate of unmanned aerial vehicle base stations (UAV-BS) when serving multiple users on the ground, a deep reinforcement learning (DRL) algorithm was proposed based on dueling deep Q-network (Dueling-DQN). A dueling network (DN) structure was employed to overcome the parti...

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Autori principali:	Shaoxiong GUO, Zhiqun SONG, Yong LI
Natura:	Artigo
Lingua:	Chinês
Pubblicazione:	Hebei University of Science and Technology 2024-02-01
Serie:	Journal of Hebei University of Science and Technology
Soggetti:	wireless communication technology; uav; aerial base stations; deep reinforcement learning; resource allocation; fairness
Accesso online:	https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202401005?st=article_issue
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