원문정보
Forecasting Demand of 5G Internet of things based on Bayesian Regression Model
초록
영어
In 2019, 5G mobile communication technology will be commercialized. From the viewpoint of technological innovation, 5G service can be applied to other industries or developed further. Therefore, it is important to measure the demand of the Internet of things (IoT) because it is predicted to be commercialized widely in the 5G era and its demand hugely effects on the economic value of 5G industry. In this paper, we applied Bayesian method on regression model to find out the demand of 5G IoT service, wearable service in particular. As a result, we confirmed that the Bayesian regression model is closer to the actual value than the existing regression model. These findings can be utilized for predicting future demand of new industries.
목차
1. 서론
2. 선행 연구
2.1 회귀 및 시계열 예측 모델
2.2 확산수요 예측 모델
2.3 베이지안 모델
3. 이론적 배경 및 활용
3.1 베이지안 정리와 추론
3.2 베이지안 회귀모형
3.3 MCMC(Markov Chain Monte Carlo) 방법
3.4 연구 절차
3.5 독립 변수 설정
4. 연구 결과
4.1 기초 자료 분석
4.2 독립 변수 검증 결과
4.3 웨어러블 가입자 수 분석결과
5. 결론 및 향후 연구 방향
References