메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Rony Kumer Saha (Chulalongkorn University) Chaodit Aswakul (Chulalongkorn University)
저널정보
대한전자공학회 대한전자공학회 학술대회 ICEIC 2017 International Conference on Electronics, Information, and Communication
발행연도
2017.1
수록면
530 - 533 (4page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
In this paper, we propose a centralized allocation and scheduling strategy for 3-dimensional radio resources (namely, time, frequency, and power) for a multi-tier control-plane and user-plane (C-/U-plane) split 5G mobile network architecture by considering schedulers of all base stations (BSs) located at a central station. We consider a multi-tier network comprises of a macrocell BS (MCBS) and a number of outdoor picocell BSs as well as indoor femtocell BSs (FCBSs) deployed within a multi-storage building. In contrast to the conventional almost blank subframe, we consider a fully blank subframe (FBS) based eICIC to split completely C-/U-plane such that control-plane can be served only by the MCBS and user-plane by each UE’s respective BS. The system bandwidth is reused in FCBSs, and frequency resources are allocated orthogonally per tier basis. We propose a simple FCBS power control mechanism by modeling a FCBS’s on-state and off-state power as on/off traffic source model, and derive an optimal value of average activation factor (AAF) of any FCBSs per FBS pattern period to trade-off its serving capacity and transmit power saving. With a system level simulation it is shown that the capacity of a FCBS increases whereas its power saving decreases linearly with an increase in its AAF because of serving increased traffic, and an optimal AAF of 0.5 for the capacity scaling factor k=1and greater than 0.5 for k<1is found.

목차

Abstract
1. Introduction
3. FCBS power management and modeling
4. Proposed RRAS and problem formation
5. Performance evaluation
6. Conclusion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2017-569-002195330