인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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
- 저자정보
피인용 0
초록·키워드
In this paper, we propose a technique for clustering, frequency reuse, and allocation to femtocells (FCs) deployed densely in a 2-dimensional (2D) space in urban environments to address the high capacity and spectral efficiency demands of 5G mobile networks. We model the 2D space to consist of a set of square-grid apartments with one FC per apartment. A region of exclusion (RoE) including a group of FCs over the space is formed based on satisfying an optimization constraint of a minimum aggregate interference per link between co-channel FCs of adjacent RoEs. The co-channel interference is modelled using the planar-Wyner model. The number of FCs within a RoE forms a cluster of FCs, and all FC clusters have the same size for a given constraint. We propose an adjacent channel interference avoided static resource reuse and allocation algorithm for FCs within each cluster where the whole system bandwidth is reused. For performance evaluation, we consider a floor of a multi-storage building as 2D space that consists of 5×5 squaregrid apartments, and a multi-tier network that consists of a macrocell, a number of outdoor picocells and indoor FCs on the floor. The almost blank subframe (ABS) based eICIC technique is used to avoid cross-tier interference between macro-tier and femto-tier. With a system level simulation, we demonstrate the number of clusters that can be formed for a given interference constraint and the outperformance of the proposed technique by manifold in terms of the capacity and spectral efficiency as compared to the conventional ABS based eICIC technique.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2017-569-002194540
