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

Internet

https://doi.org/10.1186/s13677-023-00512-9

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