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Spectrum Map Construction Method Based on Dynamic Window Size Tensor Ring Low-rank Factors
- Source :
- Radioengineering, Vol 33, Iss 1, Pp 163-172 (2024)
- Publication Year :
- 2024
- Publisher :
- Spolecnost pro radioelektronicke inzenyrstvi, 2024.
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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.
Details
- Language :
- English
- ISSN :
- 12102512
- Volume :
- 33
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Radioengineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7b07f06764ab4d399108eb1fd78c1064
- Document Type :
- article