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베이지안 회귀 모델을 활용한 5G 사물인터넷 수요 예측
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- 발행일
- 201904
- 출처
- Journal of Information Technology Applications and Management, v.26 no.2, pp.61-73
- ISSN
- 1598-6284
- 출판사
- 한국데이타베이스학회 (KDBS)
- 협약과제
- 19HR1100, 선제적 주파수 이용을 위한 시·공간적 스펙트럼 엔지니어링 기술 개발, 정영준
- 초록
- 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.
- KSP 제안 키워드
- 5G mobile communication, Bayesian Regression, Bayesian method, Internet of thing(IoT), IoT services, Regression Model, communication technologies, economic value, technological innovation