An improved graph coloring based small cell discovery scheme in LTE hyper-dense networks

Peng Shuai, T. En, Jiang Huilin, Pan Zhiwen, Liu Nan, Y. Xiaohu
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引用次数: 3

Abstract

Efficient discovery of multiple small cells is important to features such as small cell on/off, load balancing, CoMP (Coordinated Multi-point Transmission), e-ICIC (enhanced-Inter-Cell Interference Coordination) in LTE (Long Term Evolution) hyper-dense networks. However, severe interference in the Hyper-Dense Networks imposes great difficulty on efficient discovery of small cells. This paper proposes an improved graph coloring based scheme to facilitate the discovery of multiple small cells in Hyper-Dense Networks. Our proposed scheme is to divide small cells that are near to each other into different groups and let each group take turns to transmit synchronization signals so that interference between small cells are reduced. Graph coloring theory is employed in the division of small cells to guarantee that small cells within a certain distance are divided into different groups. Simulation results shows that using the proposed scheme detection probability of top 10 small cells is greatly improved compared to conventional scheme.
LTE超密集网络中一种改进的基于图着色的小小区发现方案
在LTE(长期演进)超密集网络中,高效发现多个小蜂窝对于小蜂窝开/关、负载平衡、CoMP(协调多点传输)、e-ICIC(增强型小区间干扰协调)等功能非常重要。然而,超密集网络中的严重干扰给小细胞的有效发现带来了很大的困难。本文提出了一种改进的基于图着色的方案,以促进超密集网络中多个小细胞的发现。我们提出的方案是将距离较近的小小区分成不同的组,每组轮流发送同步信号,减少小小区之间的干扰。小细胞的划分采用图着色理论,保证一定距离内的小细胞被划分为不同的组。仿真结果表明,与传统方案相比,该方案对前10个小小区的检测概率有很大提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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