이재준(Jae-Joon Lee)
소 속 장위국방연구소 연구부교수
기 간 내 용
관심분야 네트워크 IoT 상황인지예측 2002.01 ~ 2007.05

University of Southern California

컴퓨터 공학 박사 졸업

연 락 처 031-219-3990 2007.01 ~ 2007.12

University of Southern California

ANRG 연구원

이 메 일 jjnlee@ajou.ac.kr 2008.02 ~ 2010.01 삼성전자 DMC연구소
발행년도  
저자  
발행처  
페이지  

Abstract : We propose a new resource prediction method for the Demand Assigned Multiple Access (DAMA) scheme in satellite networks. Inaccurate prediction of future traffic causes degradation of QoS and utilization due to the long delay in satellite networks. The Dynamic Leveling Scheme (DLS) use a leveling method to modify its prediction to a discrete one to change the precision of the prediction result. This new scheme has two features: 1) It enhances the probability of successful prediction and 2) it can be applied to any type of existing prediction method. Simulations show enhanced utilization and performance of the satellite link.