TIIS (한국인터넷정보학회)
Current Result Document : 4 / 4
| 한글제목(Korean Title) |
Spectrum Usage Forecasting Model for Cognitive Radio Networks |
| 영문제목(English Title) |
Spectrum Usage Forecasting Model for Cognitive Radio Networks |
| 저자(Author) |
Wei Yang
Xiaojun Jing
Hai Huang
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| 원문수록처(Citation) |
VOL 12 NO. 04 PP. 1489 ~ 1503 (2018. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Spectrum reuse has attracted much concern of researchers and scientists, however, the dynamic spectrum access is challenging, since an individual secondary user usually just has limited sensing abilities. One key insight is that spectrum usage forecasting among secondary users, this inspiration enables users to obtain more informed spectrum opportunities. Therefore, spectrum usage forecasting is vital to cognitive radio networks (CRNs). With this insight, a spectrum usage forecasting model for the occurrence of primary users prediction is derived in this paper. The proposed model is based on auto regressive enhanced primary user emergence reasoning (AR-PUER), which combines linear prediction and primary user emergence reasoning. Historical samples are selected to train the spectrum usage forecasting model in order to capture the current distinction pattern of primary users. The proposed scheme does not require the knowledge of signal or of noise power. To verify the performance of proposed spectrum usage forecasting model, we apply it to the data during the past two months, and then compare it with some other sensing techniques. The simulation results demonstrate that the spectrum usage forecasting model is effective and generates the most accurate prediction of primary users occasion in several cases.
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| 키워드(Keyword) |
Dynamic spectrum access
spectrum sensing
AR-PUER
CRNs
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| 파일첨부 |
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