A predictive on-demand placement of UAV base stations using echo state network

Haoran Peng, Chao Chen, Chuan Chi Lai, Li Chun Wang, Zhu Han

研究成果: Conference contribution同行評審

6 引文 斯高帕斯(Scopus)

摘要

The unmanned aerial vehicles base stations (UAV-BSs) have great potential in being widely used in many dynamic application scenarios. In those scenarios, the movements of served user equipments (UEs) are inevitable, so the UAV-BSs needs to be re-positioned dynamically for providing seamless services. In this paper, we propose a system framework consisting of UEs clustering, UAV-BS placement, UEs trajectories prediction, and UAV-BS reposition matching scheme, to serve the UEs seamlessly as well as minimize the energy cost of UAV-BSs' reposition trajectories. An Echo State Network (ESN) based algorithm for predicting the future trajectories of UEs and a Kuhn-Munkres-based algorithm for finding the energy-efficient reposition trajectories of UAV-BSs is designed, respectively. We conduct a simulation using a real open dataset for performance validation. The simulation results indicate that the proposed framework achieves high prediction accuracy and provides the energy-efficient matching scheme.

原文English
主出版物標題2019 IEEE/CIC International Conference on Communications in China, ICCC 2019
發行者Institute of Electrical and Electronics Engineers Inc.
頁面36-41
頁數6
ISBN(電子)9781728107325
DOIs
出版狀態Published - 八月 2019
事件2019 IEEE/CIC International Conference on Communications in China, ICCC 2019 - Changchun, China
持續時間: 11 八月 201913 八月 2019

出版系列

名字2019 IEEE/CIC International Conference on Communications in China, ICCC 2019

Conference

Conference2019 IEEE/CIC International Conference on Communications in China, ICCC 2019
國家/地區China
城市Changchun
期間11/08/1913/08/19

指紋

深入研究「A predictive on-demand placement of UAV base stations using echo state network」主題。共同形成了獨特的指紋。

引用此