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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
220 - 223 (4page)

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초록· 키워드

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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.

목차

Abstract
1. Introduction
2. FC network, interference and RoE modeling
3. FC clustering, resource reuse and allocation
4. Multi-tier network for performance evaluation
5. Performance result and analysis
References

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UCI(KEPA) : I410-ECN-0101-2017-569-002194540