Energy efficient UAV-enabled multicast systems: Joint grouping and trajectory optimization

Chang Deng, Wenjun Xu*, Chia-Han Lee, Hui Gao, Wenbo Xu, Zhiyong Feng

*此作品的通信作者

研究成果: Conference contribution同行評審

9 引文 斯高帕斯(Scopus)

摘要

We study an energy-efficient unmanned aerial vehicle (UAV) multicast system, in which ground terminals (GTs) requiring a common information (CI) are grouped and a UAV flies to each group to deliver the CI using minimum energy consumption. A machine learning (ML) empowered joint multicast grouping and UAV trajectory optimization framework is proposed to tackle the challenging joint optimization problem. In this framework, we first propose the compressed-feature regression and clustering machine learning (C2ML) for multicast grouping. A support vector regression (SVR) is trained with the silhouette coefficient, a one- dimensional compressed feature regarding the distribution of GTs, to efficiently determine the number of groups that guides the K-means clustering to approach the optimal multicast grouping. With the C2ML- enabled multicast grouping, we solve the UAV trajectory optimization problem by formulating an equivalent centroid-adjustable traveling salesman problem (CA- TSP). An efficient CA-TSP inspired iterative optimization algorithm is proposed for UAV trajectory planning. The proposed ML-empowered joint optimization framework, which integrates the offline C2ML-enabled multicast grouping and the online CA-TSP inspired UAV- trajectory optimization, is shown to achieve excellent energy-saving performance.

原文English
主出版物標題2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁數7
ISBN(電子)9781728109626
DOIs
出版狀態Published - 12月 2019
事件2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
持續時間: 9 12月 201913 12月 2019

出版系列

名字2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
國家/地區United States
城市Waikoloa
期間9/12/1913/12/19

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