Research Article
UAV-Assisted Spectrum Mapping System Based on Tensor Completion Scheme
@INPROCEEDINGS{10.1007/978-3-030-66785-6_2, author={Xiaofu Du and Qiuming Zhu and Qihui Wu and Weizhi Zhong and Yang Huang and Neng Cheng and Dong Liu}, title={UAV-Assisted Spectrum Mapping System Based on Tensor Completion Scheme}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={Spectrum map Spectrum visualization Tensor completion UAV}, doi={10.1007/978-3-030-66785-6_2} }- Xiaofu Du
Qiuming Zhu
Qihui Wu
Weizhi Zhong
Yang Huang
Neng Cheng
Dong Liu
Year: 2021
UAV-Assisted Spectrum Mapping System Based on Tensor Completion Scheme
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_2
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.
