Robust Long-Term Spectrum Prediction With Missing Values and Sparse Anomalies

Robust Long-Term Spectrum Prediction With Missing Values and Sparse Anomalies

Due to an increasingly instrumental role in dynamic spectrum access, spectrum prediction causes extensive concern. Recently, the long-term spectrum prediction scheme based on tensor completion (LSP-TC) was proposed, which performs prediction over a time-frequency-day spectrum tensor model. Neverthel...

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Bibliographic Details
Main Authors: Chao Ge, Zheng Wang, Xiaofei Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Long-term spectrum prediction
time-frequency-day spectrum tensor model
robust tensor recovery
Online Access:https://ieeexplore.ieee.org/document/8604045/

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