Radioengineering (Apr 2024)

Spectrum Map Construction Method Based on Dynamic Window Size Tensor Ring Low-rank Factors

  • Y. H. Hu,
  • J. Z. Zhang,
  • Y. X. Liu,
  • G. J. Liu,
  • G. K. Chen

Journal volume & issue
Vol. 33, no. 1
pp. 163 – 172

Abstract

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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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