GREEN SMALL-CELL NETWORKS
GREEN SMALL-CELL NETWORKS
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DOI：
10.1109/mvt.2010.939904
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发表时间：
2011-03-01
影响因子：
8.1
通讯作者：
Debbah, Merouane
中科院分区：
文献类型：
--
作者：
Hoydis, Jakob;Kobayashi, Mari;Debbah, Merouane
对无线数据服务的需求呈指数级增长，需要大规模的网络致密化，这对于当前的蜂窝系统架构来说在经济上和生态上都不可行。解决这一问题的一个有希望的解决方案是小蜂窝网络 (SCN) 的概念，它的建立理念是非常密集地部署自组织、低成本、低功耗基站 (BS)。尽管 SCN 有潜力显着提高蜂窝网络的容量，同时降低能耗，但它们对优化系统设计提出了许多新的挑战。我们在本文中展示了基于随机矩阵理论 (RMT) 的大型系统分析如何提供 SCN 关键性能度量的严格且易于处理的近似值。
The exponentially increasing demand for wireless data services requires a massive network densification that is neither economically nor ecologically viable with the current cellular system architectures. A promising solution to this problem is the concept of small-cell networks (SCNs), which is founded by the idea of a very dense deployment of self-organizing, low-cost, low-power, base stations (BSs). Although SCNs have the potential to significantly increase the capacity of cellular networks while reducing their energy consumption, they pose many new challenges to the optimal system design. We show in this article how a large system analysis based on random matrix theory (RMT) can provide tight and tractable approximations of key performance measures of SCNs.