基于Voronoi单元几何的OFDMA蜂窝网络动态分数频率复用

R. Ullah, N. Fisal, Hashim Safdar, W. Maqbool, Z. Khalid, A. Khan
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引用次数: 19

摘要

干扰管理(IM)是下一代无线通信面临的主要挑战之一。分数频率复用(FFR)是一种高效的即时通信技术,具有显著的容量增强和低复杂度的小区边缘覆盖能力。在文献中,对FFR的分析主要是用六边形网格模型描述的蜂窝网络,这种模型既不易于处理,也无法扩展到下一代无线网络的密集部署。此外,基于完美几何的网格模型容易高估系统性能,不能反映实际情况。本文采用随机几何方法,用齐次泊松点过程(PPP)建模的蜂窝网络对FFR进行了分析。提出了一种考虑Voronoi细分描述的小区覆盖区域随机性的动态频率分配方案。结果表明,该方案在单位用户容量和容量密度方面都优于传统的固定频率分配方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Voronoi cell geometry based dynamic Fractional Frequency Reuse for OFDMA cellular networks
Interference Management (IM) is one of the major challenges of next generation wireless communication. Fractional Frequency Reuse (FFR) has been acknowledged as an efficient IM technique, which offers significant capacity enhancement and improve cell edge coverage with low complexity. In literature, FFR has been analyzed mostly with cellular networks described by Hexagon Grid Model, which is neither tractable nor scalable to the dense deployment of next generation wireless networks. Moreover, the perfect geometry based grid model tends to overestimate the system performance and not able to reflect the reality. In this paper, we use the stochastic geometry approach, FFR is analyzed with cellular network modeled by homogeneous Poisson Point Process (PPP). A dynamic frequency allocation scheme is proposed which take into account the randomness of the cell coverage area describe by Voronoi tessellation. It is shown that the proposed scheme outperforms the traditional fixed frequency allocation schemes in terms of per user capacity and capacity density.
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