Intelligent deployment and optimization of movable base stations based on multi-agent reinforcement learning

To enable the rapid deployment of mobile base stations and optimize operations in urban environments, a network coverage planning and optimization method based on multi-agent reinforcement learning was proposed. This method was designed to address the issue of reducing network coverage due to user m...

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Bibliographic Details

Published in:	Dianxin kexue
Main Authors:	ZHAO Xinran, CHEN Meijuan, YUAN Zhiwei, ZHU Xiaorong
Format:	Article
Language:	Chinese
Published:	Beijing Xintong Media Co., Ltd 2025-02-01
Subjects:	movable base stations base station location planning optimization multi-agent reinforcement learning
Online Access:	http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2025035/