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arXiv 1306.6169cs.ITmath.IT
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多天线基站的小小区网络吞吐量和能量效率分析

Throughput and Energy Efficiency Analysis of Small Cell Networks with Multi-antenna Base Stations

C. Li, J. Zhang, K. B. Letaief

摘要:

小小区网络最近被提出作为下一代蜂窝网络的重要演进路径。然而,随着越来越多的不规则部署的基站(BS),量化可实现的网络吞吐量或能量效率变得越来越困难。在本文中,我们开发了一个小小区网络的下行链路性能评估的分析框架,基于随机空间网络模型,其中BS和用户被建模为两个独立的空间泊松点过程。一个新的简单的中断概率的表达式,推导出,这是分析听话,特别是有用的多天线传输。然后将这个新结果应用于评估网络吞吐量和能量效率。分析表明,部署更多的BS或更多的BS天线总是可以增加网络的吞吐量,但性能增益关键取决于BS用户密度比和BS天线的数量。另一方面,如果基站功耗的不同组成部分满足一定的条件,则增加基站密度或发射天线数会使能量效率先增加后降低,并且可以找到最优基站密度和最优基站天线数,否则能量效率总是降低。仿真结果表明,基于随机网络模型的结论是普遍的,也适用于规则的网格模型。

英文摘要:

Small cell networks have recently been proposed as an important evolution path for the next-generation cellular networks. However, with more and more irregularly deployed base stations (BSs), it is becoming increasingly difficult to quantify the achievable network throughput or energy efficiency. In this paper, we develop an analytical framework for downlink performance evaluation of small cell networks, based on a random spatial network model, where BSs and users are modeled as two independent spatial Poisson point processes. A new simple expression of the outage probability is derived, which is analytically tractable and is especially useful with multi-antenna transmissions. This new result is then applied to evaluate the network throughput and energy efficiency. It is analytically shown that deploying more BSs or more BS antennas can always increase the network throughput, but the performance gain critically depends on the BS-user density ratio and the number of BS antennas. On the other hand, increasing the BS density or the number of transmit antennas will first increase and then decrease the energy efficiency if different components of BS power consumption satisfy certain conditions, and the optimal BS density and the optimal number of BS antennas can be found. Otherwise, the energy efficiency will always decrease. Simulation results shall demonstrate that our conclusions based on the random network model are general and also hold in a regular grid-based model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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