Spectrum and energy efficiency analysis of ultra dense network with sleep

Ce Zheng, Jiancun Fan, Xinmin Luo
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引用次数: 6

Abstract

Recently, Ultra Dense Network (UDN) emerges as one of the state-of-the-art technologies to cope with the pressure of the ever-growing traffic demands in wireless communication. By deploying dense Base Stations (BSs) to provide ubiquitous coverage and high-speed transmission, it is considered as one of the most promising paradigms. However, large numbers of BSs bring the rise of the energy consumption of circuit and other costs for maintenance. Therefore, along with spectrum efficiency, the energy efficiency also becomes a major concern in UDN. In this paper, we analyze the UDN performance on both network Spectrum Efficiency (SE) and network Energy Efficiency (EE) with sleep mode. We first offer an alternative analytical expression of the average achievable rate. Then we modified the existing stochastic model where BSs and users are modeled as the Poisson Point process (PPP). Unlike the previous work, we introduce the active BSs density and show its relationship with densities of BSs and users. After that, we analytically derive the expression of the network SE and EE, and analyze the network performance through numerical simulations. We further do practical simulations to prove the validity of our analysis. In the end, we draw the conclusions that tradeoff needs to be made since different network performance metrics cannot be optimal at the same time.
带睡眠的超密集网络频谱及能量效率分析
近年来,超密集网络(UDN)成为应对无线通信日益增长的流量需求的最新技术之一。通过部署密集的基站(BSs)来提供无处不在的覆盖和高速传输,它被认为是最有前途的范例之一。然而,大量的BSs带来了电路能耗和其他维护成本的上升。因此,随着频谱效率的提高,能源效率也成为UDN的主要关注点。本文从网络频谱效率(SE)和网络能量效率(EE)两个方面分析了UDN在睡眠模式下的性能。我们首先提供了平均可达到速率的另一种解析表达式。然后,我们对现有的随机模型进行了改进,其中将BSs和用户建模为泊松点过程(PPP)。与之前的工作不同,我们引入了活跃的bbs密度,并展示了它与bbs密度和用户密度的关系。在此基础上,解析推导了网络SE和EE的表达式,并通过数值模拟分析了网络的性能。我们进一步做了实际的仿真来证明我们分析的有效性。最后,我们得出结论,需要进行权衡,因为不同的网络性能指标不可能同时达到最优。
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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