지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 저널정보
- 한국정보통신학회 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING 2014 INTERNATIONAL CONFERENCE ON FUTURE INFORMATION & COMMUNICATION ENGINEERING Vo.6 No.1
- 발행연도
- 2014.6
- 수록면
- 515 - 518 (4page)
이용수
초록· 키워드
오류제보하기
Channel prediction is a useful method to provide efficient spectrum allocation in Cognitive Radio networks because it can predict future usage of channels and reduce interference to Primary Users. Generally, channel prediction is made by channel statistical parameters that are determined by past channel sensing information. However, if these statistical parameters change fast, the prediction performance can be degraded because determining the channel parameters requires a substantial period of time. In this paper, we propose an adaptive prediction scheme to improve the accuracy of the prediction in fast changing channel environment. We define the prediction error and adjust the prediction lengths by using the prediction error.
목차
Abstract
I. INTRODUCTION
II. ADAPTIVE CHANNEL PREDICTION
III. RESULTS AND CONCLUSIONS
REFERENCES
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UCI(KEPA) : I410-ECN-0101-2018-004-000963083