Affinity propagation clustering for interference management in aerial small cells

Shao Hung Cheng, Yung Sheng Chao, Li-Chun Wang, Ang Hsun Tsai

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

The drone small cell (DSC) network has become a key technology for air-to-ground wireless communications in a variety of temporary or emergency situations. Based on mobile users, frequently changing DSC topologies have important challenges such as severe co-channel interference and limited battery capacity. However, temporarily dispatched drones cannot obtain labeled and historical data in advance, while they only obtain real-time operational data. The observed data can be analyzed by unsupervised learning methods to find useful information for resource management. In this paper, an interference-aware power control (IPC) framework is designed using affinity propagation clustering (APC). The APC method is one of the unsupervised learning methods. The numerical results show that our proposed IPC framework using the APC method can reduce system interference and significantly improve the energy efficiency of DSC networks.

原文English
主出版物標題Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728112046
DOIs
出版狀態Published - 八月 2019
事件2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019 - Singapore, Singapore
持續時間: 28 八月 201930 八月 2019

出版系列

名字Proceedings - 2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019

Conference

Conference2019 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2019
國家/地區Singapore
城市Singapore
期間28/08/1930/08/19

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