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UAV-Assisted Spectrum Mapping System Based on Tensor Completion Scheme

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Machine Learning and Intelligent Communications (MLICOM 2020)

Abstract

Electromagnetic spectrum is an indispensable resource in the current Information Age. Along with the rapid development of integrated space and terrestrial communication networks, spectrum shortage is one of the challenges faced by electromagnetic spectrum resource utilization in both airspace and terrestrial space. In order to realize the effective supervision and allocation of spectrum resources, a UAV-assisted spectrum mapping system based on tensor completion scheme is proposed. By using a UAV platform, the hardware system can acquire the multi-dimensional spectrum information, i.e., the geographical location and spectrum power, quickly and flexibly in the 3D space. The high accuracy low rank tensor completion (HaLRTC) algorithm is adopted to process the multi-dimensional spectrum data, i.e., data completion and map construction. The output spectrum map can display the characteristics of electromagnetic spectrum space more intuitively, and provide a solid basis for dynamic spectrum management. Finally, the proposed spectrum map system is tested under campus scenario.

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Acknowledgements

This work was supported in part by the National Key Scientific Instrument and Equipment Development Project under Grant No. 61827801, in part by Aeronautical Science Foundation of China No. 201901052001, and in part by the Fundamental Research Funds for the Central Universities No. NS2020026 and No. NS2020063.

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Authors and Affiliations

  1. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Xiaofu Du, Qiuming Zhu, Qihui Wu, Weizhi Zhong, Yang Huang, Neng Cheng & Dong Liu

  2. College of electronic and information engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Xiaofu Du, Qiuming Zhu, Qihui Wu, Yang Huang, Neng Cheng & Dong Liu

  3. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Weizhi Zhong

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  1. Xiaofu Du
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  2. Qiuming Zhu
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  3. Qihui Wu
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  4. Weizhi Zhong
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  5. Yang Huang
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  6. Neng Cheng
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  7. Dong Liu
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Corresponding author

Correspondence to Qiuming Zhu .

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Editors and Affiliations

  1. Shenzhen Institute of Information Technology, Shenzhen, China

    Mingxiang Guan

  2. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, Liaoning, China

    Zhenyu Na

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Du, X. et al. (2021). UAV-Assisted Spectrum Mapping System Based on Tensor Completion Scheme. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_2

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

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