원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.8 No.7
2015.07
pp.13-24
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In the spectral data management, under different regions and different time, spectral data is very big, resulting in the spectrum management would be difficult, this article based on Bayesian network of depth neural networks, aiming at the characteristics of spectrum management, studying the spectrum historical data, and according to the results to forecast spectrum occupancy, in order to achieve the spectrum management, the experimental results compared the spectrum of predictions and reality, and verified the effectiveness of the algorithm.
목차
Abstract
1. Introduction
2. Related Works
2.1. The Research Status of Cognitive Radio
2.2. The Research Status of Bayesian Network
3. Proposed Scheme
3.1. Data Forecasting Based on Bayesian Network
3.2. Spectrum Management Based on Bayesian Network
4. Experiment Results and Analysis
5. Conclusion
References
1. Introduction
2. Related Works
2.1. The Research Status of Cognitive Radio
2.2. The Research Status of Bayesian Network
3. Proposed Scheme
3.1. Data Forecasting Based on Bayesian Network
3.2. Spectrum Management Based on Bayesian Network
4. Experiment Results and Analysis
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보