Spectrum Map Construction Method Based on Dynamic Window Size Tensor Ring Low-rank Factors
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Date
2024-04
Authors
Hu, Y. H.
Zhang, J. Z.
Liu, Y. X.
Liu, G. J.
Chen, G. K.
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Referee
Mark
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Společnost pro radioelektronické inženýrství
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Abstract
Spectrum maps can model the received signal strength over a geographical region and will play a pivotal role in the intended spectrum management scheme. Traditional spectrum map construction methods cannot fully utilize the spatial-temporal correlation characteristics of observed spectrum data in a time-varying spectrum situation. The computational complexity for real-time scenes is unaffordable, and the current spectrum situation cannot be estimated promptly. To address this problem, we first model the spatial-temporal spectrum data by tensors. Then, based on the low-rank statistical characteristic of the spectrum map, we apply the tensor ring low-rank factors (TRLRF) algorithm to recover the missing spectrum data. Finally, a dynamic window mechanism is introduced to reduce the computational complexity further. The simulation results show that the proposed dynamic window size tensor ring low-rank factors (DW-TRLRF) algorithm yields higher accuracy than other state-of-the-art algorithms with significantly lower complexity.
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Citation
Radioengineering. 2024 vol. 33, iss. 1, s. 163-172. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2024/24_01_0163_0172.pdf
https://www.radioeng.cz/fulltexts/2024/24_01_0163_0172.pdf
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Peer-reviewed
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Published version
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en