HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning

HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning

Abstract Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are widely employed in cloud computing, disaster relief, and various applications. How to quickly and efficiently deploy multi-AeBSs for higher capacity gain has become a key research issue. In this paper...

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Bibliographic Details
Main Authors:	Lei Liu, Haoran He, Fei Qi, Yikun Zhao, Weiliang Xie, Fanqin Zhou, Lei Feng
Format:	Article
Language:	English
Published:	SpringerOpen 2023-09-01
Series:	Journal of Cloud Computing: Advances, Systems and Applications
Subjects:	Aerial base station (AeBS) Capacity enhancement Deep reinforcement learning (DRL) Federated reinforcement learning
Online Access:	https://doi.org/10.1186/s13677-023-00512-9

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