한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2019년도 춘계학술발표대회
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- Pages.86-88
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Spectrum Sensing for Cognitive Radio based on RVM
- Shi, Shangkun (Dept. of Computer Software, Hanyang University) ;
- Yan, Jiao (Dept. of Computer Software, Hanyang University) ;
- Joe, Inwhee (Dept. of Computer Software, Hanyang University)
- 발행 : 2019.05.10
초록
In a complex geographical environment, communication quality of communication equipment is being seriously challenged. Secondary Users(SUs) must make the best possible use the idle spectrums that Primary Users(PUs) do not use and change spectrum frequently. Using the relevance vector machine(RVM) to establish a signal noise Ratio(SNR) Model for interference information and bit error rate(BER). Through the model and real-time interference information, the minimum channel SNR meeting the BER requirements of communication equipment can be predicted, and we can also calculate the minimum transmitted power. According to the simulation results, this method has better performance for selecting available channel and restraining interference.
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