메뉴 건너뛰기

ENG

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
(Kyung Hee University) (Kyung Hee University) (Kyung Hee University)
저널정보
대한전자공학회 대한전자공학회 학술대회 2013년도 대한전자공학회 추계종합학술대회
발행연도
수록면
257 - 260 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
이 논문의 연구방법이 궁금하신가요?
🏆
연구결과
이 논문의 연구결과가 궁금하신가요?
AI에게 요청하기
추천
검색
질문

초록· 키워드

Fuzzy logic has a great potential to improve the throughput of the brain empowered cognitive radio network (CRNs). Cognitive radio-enabled users are called secondary users (SUs) while the license users are called the primary users (PUs). SUs exploit the white spaces opportunistically available in license channels. SU have to immediately vacate the license channel and switch to some other available channel as PU arrival is detected or interference with PU goes beyond a predefined limit. Performance of SU severely degrades if successive channel switching happens; furthermore taking the channel witching decisions based on crisp logic is not suitable approach in brain empowered CRNs where sensing information is not only imprecise and inaccurate but also involve a major factor of uncertainty. In this paper, we deal channel selection and switching jointly and propose a fuzzy logic-based channel selection and switching decision system for enhancing the throughput of the CRNs. Our system reduces the SU channel switching rate as well as channel selection is more adaptable for CRNs.
상세정보 수정요청해당 페이지 내 제목·저자·목차·페이지
정보가 잘못된 경우 알려주세요!

목차

  1. Abstract
  2. Ⅰ. Introduction
  3. Ⅱ. Literature review
  4. Ⅲ. fuzzy-based Channel selection and switching decision system
  5. Ⅳ. Conclusion and future work
  6. REFERENCES

참고문헌

참고문헌 신청

최근 본 자료

전체보기
260429_DBpiaAI
260319_딥리서치
260319_AI리더
260304_새학기에이전트
260429 전공별 추천 이벤트
260428 이주의질문
260304_아그논문롤
260127_아그논문
260127_AI뷰어
UCI(KEPA) : I410-ECN-0101-2015-560-001003121