한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)
- 한국정보과학회 2012년도 한국컴퓨터종합학술대회논문집 Vol.39 No.1(D)
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- Pages.262-264
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- 2012
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- 1598-5164(pISSN)
Likelihood Estimation Using Continuous-Time Markov Channels for Cognitive Radio Networks in Wireless LAN
- Oo, Thant Zin (Department of Computer Engineering, Kyung Hee University) ;
- Thar, Kyi (Department of Computer Engineering, Kyung Hee University) ;
- Hong, Choong-Seon (Department of Computer Engineering, Kyung Hee University)
- 발행 : 2012.06.22
초록
Dynamic spectrum access and cognitive radio is a viable solution to solve congestion in ISM band. The dynamic environment of multi-channel wireless LAN is modeled by using continuous time Markov process. Bayes theorem is applied to infer channel access decisions dynamically to ensure current data transmission is switched to only likely candidate channels.
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